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109 KiB
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Introduction", "text": "1. Introduction", "level": 1}, {"self_ref": "#/texts/7", "parent": {"cref": "#/body"}, "children": [], "content_layer": "body", "label": "text", "prov": [{"page_no": 1, "bbox": {"l": 62.067, "t": 230.94799999999998, "r": 166.266, "b": 222.39599999999996, "coord_origin": "BOTTOMLEFT"}, "charspan": [0, 24]}], "orig": "The occurrence of tables", "text": "The occurrence of tables"}, {"self_ref": "#/texts/8", "parent": {"cref": "#/body"}, "children": [], "content_layer": "body", "label": "section_header", "prov": [{"page_no": 1, "bbox": {"l": 315.567, "t": 573.651, "r": 408.441, "b": 565.338, "coord_origin": "BOTTOMLEFT"}, "charspan": [0, 22]}], "orig": "a. Picture of a table:", "text": "a. Picture of a table:", "level": 1}, {"self_ref": "#/texts/9", "parent": {"cref": "#/groups/1"}, "children": [], "content_layer": "body", "label": "list_item", "prov": [{"page_no": 1, "bbox": {"l": 315.567, "t": 477.963, "r": 486.402, "b": 469.65, "coord_origin": "BOTTOMLEFT"}, "charspan": [0, 36]}], "orig": "b. Red-annotation of bounding boxes,", "text": "b. Red-annotation of bounding boxes,", "enumerated": false, "marker": "-"}, {"self_ref": "#/texts/10", "parent": {"cref": "#/groups/1"}, "children": [], "content_layer": "body", "label": "list_item", "prov": [{"page_no": 1, "bbox": {"l": 315.567, "t": 371.475, "r": 491.191, "b": 363.162, "coord_origin": "BOTTOMLEFT"}, "charspan": [0, 38]}], "orig": "c. Structure predicted by TableFormer:", "text": "c. Structure predicted by TableFormer:", "enumerated": false, "marker": "-"}, {"self_ref": "#/texts/11", "parent": {"cref": "#/pictures/2"}, "children": [], "content_layer": "body", "label": "caption", "prov": [{"page_no": 1, "bbox": {"l": 308.862, "t": 277.231, "r": 345.734, "b": 268.679, "coord_origin": "BOTTOMLEFT"}, "charspan": [0, 9]}], "orig": "Figure 1:", "text": "Figure 1:"}, {"self_ref": "#/texts/12", "parent": {"cref": "#/body"}, "children": [], "content_layer": "body", "label": "text", "prov": [{"page_no": 1, "bbox": {"l": 320.817, "t": 207.322, "r": 358.077, "b": 198.76999999999998, "coord_origin": "BOTTOMLEFT"}, "charspan": [0, 9]}], "orig": "Recently,", "text": "Recently,"}, {"self_ref": "#/texts/13", "parent": {"cref": "#/body"}, "children": [], "content_layer": "body", "label": "text", "prov": [{"page_no": 1, "bbox": {"l": 320.817, "t": 123.351, "r": 545.115, "b": 114.79899999999998, "coord_origin": "BOTTOMLEFT"}, "charspan": [0, 55]}], "orig": "The first problem is called table-location and has been", "text": "The first problem is called table-location and has been"}, {"self_ref": "#/texts/14", "parent": {"cref": "#/body"}, "children": [], "content_layer": "furniture", "label": "page_footer", "prov": [{"page_no": 1, "bbox": {"l": 295.121, "t": 57.597999999999956, "r": 300.102, "b": 49.04600000000005, "coord_origin": "BOTTOMLEFT"}, "charspan": [0, 1]}], "orig": "1", "text": "1"}, {"self_ref": "#/texts/15", "parent": {"cref": "#/body"}, "children": [], "content_layer": "body", "label": "text", "prov": [{"page_no": 2, "bbox": {"l": 50.112, "t": 716.523, "r": 286.365, "b": 707.971, "coord_origin": "BOTTOMLEFT"}, "charspan": [0, 57]}], "orig": "considered as a solved problem, given enough ground-truth", "text": "considered as a solved problem, given enough ground-truth"}, {"self_ref": "#/texts/16", "parent": {"cref": "#/body"}, "children": [], "content_layer": "body", "label": "text", "prov": [{"page_no": 2, "bbox": {"l": 62.067, "t": 692.16, "r": 286.365, "b": 683.608, "coord_origin": "BOTTOMLEFT"}, "charspan": [0, 53]}], "orig": "The second problem is called table-structure decompo-", "text": "The second problem is called table-structure decompo-"}, {"self_ref": "#/texts/17", "parent": {"cref": "#/body"}, "children": [], "content_layer": "body", "label": "text", "prov": [{"page_no": 2, "bbox": {"l": 62.067, "t": 560.2, "r": 286.365, "b": 551.648, "coord_origin": "BOTTOMLEFT"}, "charspan": [0, 54]}], "orig": "In this paper, we want to address these weaknesses and", "text": "In this paper, we want to address these weaknesses and"}, {"self_ref": "#/texts/18", "parent": {"cref": "#/body"}, "children": [], "content_layer": "body", "label": "text", "prov": [{"page_no": 2, "bbox": {"l": 62.067, "t": 416.285, "r": 286.365, "b": 407.733, "coord_origin": "BOTTOMLEFT"}, "charspan": [0, 56]}], "orig": "To meet the design criteria listed above, we developed a", "text": "To meet the design criteria listed above, we developed a"}, {"self_ref": "#/texts/19", "parent": {"cref": "#/groups/2"}, "children": [], "content_layer": "body", "label": "list_item", "prov": [{"page_no": 2, "bbox": {"l": 61.569, "t": 347.18, "r": 65.056, "b": 338.628, "coord_origin": "BOTTOMLEFT"}, "charspan": [0, 1]}], "orig": "\u2022", "text": "\u2022", "enumerated": false, "marker": "-"}, {"self_ref": "#/texts/20", "parent": {"cref": "#/groups/2"}, "children": [], "content_layer": "body", "label": "list_item", "prov": [{"page_no": 2, "bbox": {"l": 61.569, "t": 289.578, "r": 65.056, "b": 281.026, "coord_origin": "BOTTOMLEFT"}, "charspan": [0, 1]}], "orig": "\u2022", "text": "\u2022", "enumerated": false, "marker": "-"}, {"self_ref": "#/texts/21", "parent": {"cref": "#/groups/2"}, "children": [], "content_layer": "body", "label": "list_item", "prov": [{"page_no": 2, "bbox": {"l": 61.569, "t": 231.97500000000002, "r": 65.056, "b": 223.423, "coord_origin": "BOTTOMLEFT"}, "charspan": [0, 1]}], "orig": "\u2022", "text": "\u2022", "enumerated": false, "marker": "-"}, {"self_ref": "#/texts/22", "parent": {"cref": "#/groups/2"}, "children": [], "content_layer": "body", "label": "list_item", "prov": [{"page_no": 2, "bbox": {"l": 61.569, "t": 186.32799999999997, "r": 65.056, "b": 177.77600000000007, "coord_origin": "BOTTOMLEFT"}, "charspan": [0, 1]}], "orig": "\u2022", "text": "\u2022", "enumerated": false, "marker": "-"}, {"self_ref": "#/texts/23", "parent": {"cref": "#/body"}, "children": [], "content_layer": "body", "label": "text", "prov": [{"page_no": 2, "bbox": {"l": 62.067, "t": 141.13300000000004, "r": 204.452, "b": 132.58100000000002, "coord_origin": "BOTTOMLEFT"}, "charspan": [0, 35]}], "orig": "The paper is structured as follows.", "text": "The paper is structured as follows."}, {"self_ref": "#/texts/24", "parent": {"cref": "#/body"}, "children": [], "content_layer": "body", "label": "footnote", "prov": [{"page_no": 2, "bbox": {"l": 60.971, "t": 87.70399999999995, "r": 63.96, "b": 82.57299999999998, "coord_origin": "BOTTOMLEFT"}, "charspan": [0, 1]}], "orig": "1", "text": "1"}, {"self_ref": "#/texts/25", "parent": {"cref": "#/body"}, "children": [], "content_layer": "body", "label": "text", "prov": [{"page_no": 2, "bbox": {"l": 308.862, "t": 716.523, "r": 545.115, "b": 707.971, "coord_origin": "BOTTOMLEFT"}, "charspan": [0, 60]}], "orig": "its results & performance in Sec. 5. As a conclusion, we de-", "text": "its results & performance in Sec. 5. As a conclusion, we de-"}, {"self_ref": "#/texts/26", "parent": {"cref": "#/body"}, "children": [], "content_layer": "body", "label": "section_header", "prov": [{"page_no": 2, "bbox": {"l": 308.862, "t": 670.268, "r": 498.28, "b": 659.52, "coord_origin": "BOTTOMLEFT"}, "charspan": [0, 37]}], "orig": "2. Previous work and State of the Art", "text": "2. Previous work and State of the Art", "level": 1}, {"self_ref": "#/texts/27", "parent": {"cref": "#/body"}, "children": [], "content_layer": "body", "label": "text", "prov": [{"page_no": 2, "bbox": {"l": 320.817, "t": 649.51, "r": 545.115, "b": 640.958, "coord_origin": "BOTTOMLEFT"}, "charspan": [0, 58]}], "orig": "Identifying the structure of a table has been an outstand-", "text": "Identifying the structure of a table has been an outstand-"}, {"self_ref": "#/texts/28", "parent": {"cref": "#/body"}, "children": [], "content_layer": "body", "label": "text", "prov": [{"page_no": 2, "bbox": {"l": 320.817, "t": 458.162, "r": 391.492, "b": 449.61, "coord_origin": "BOTTOMLEFT"}, "charspan": [0, 17]}], "orig": "Before the rising", "text": "Before the rising"}, {"self_ref": "#/texts/29", "parent": {"cref": "#/body"}, "children": [], "content_layer": "body", "label": "text", "prov": [{"page_no": 2, "bbox": {"l": 320.817, "t": 338.932, "r": 423.262, "b": 329.976, "coord_origin": "BOTTOMLEFT"}, "charspan": [0, 22]}], "orig": "Image-to-Text networks", "text": "Image-to-Text networks"}, {"self_ref": "#/texts/30", "parent": {"cref": "#/body"}, "children": [], "content_layer": "furniture", "label": "page_footer", "prov": [{"page_no": 2, "bbox": {"l": 295.121, "t": 57.597999999999956, "r": 300.102, "b": 49.04600000000005, "coord_origin": "BOTTOMLEFT"}, "charspan": [0, 1]}], "orig": "2", "text": "2"}, {"self_ref": "#/texts/31", "parent": {"cref": "#/body"}, "children": [], "content_layer": "body", "label": "text", "prov": [{"page_no": 3, "bbox": {"l": 50.112, "t": 716.523, "r": 250.151, "b": 707.971, "coord_origin": "BOTTOMLEFT"}, "charspan": [0, 51]}], "orig": "tag-decoder which is constrained to the table-tags.", "text": "tag-decoder which is constrained to the table-tags."}, {"self_ref": "#/texts/32", "parent": {"cref": "#/body"}, "children": [], "content_layer": "body", "label": "text", "prov": [{"page_no": 3, "bbox": {"l": 62.067, "t": 704.512, "r": 70.366, "b": 695.96, "coord_origin": "BOTTOMLEFT"}, "charspan": [0, 2]}], "orig": "In", "text": "In"}, {"self_ref": "#/texts/33", "parent": {"cref": "#/body"}, "children": [], "content_layer": "body", "label": "text", "prov": [{"page_no": 3, "bbox": {"l": 62.067, "t": 513.561, "r": 90.301, "b": 504.605, "coord_origin": "BOTTOMLEFT"}, "charspan": [0, 5]}], "orig": "Graph", "text": "Graph"}, {"self_ref": "#/texts/34", "parent": {"cref": "#/body"}, "children": [], "content_layer": "body", "label": "text", "prov": [{"page_no": 3, "bbox": {"l": 62.067, "t": 298.311, "r": 252.881, "b": 289.355, "coord_origin": "BOTTOMLEFT"}, "charspan": [0, 40]}], "orig": "Hybrid Deep Learning-Rule-Based approach", "text": "Hybrid Deep Learning-Rule-Based approach"}, {"self_ref": "#/texts/35", "parent": {"cref": "#/body"}, "children": [], "content_layer": "body", "label": "section_header", "prov": [{"page_no": 3, "bbox": {"l": 50.112, "t": 156.05500000000006, "r": 105.225, "b": 145.30700000000002, "coord_origin": "BOTTOMLEFT"}, "charspan": [0, 11]}], "orig": "3. Datasets", "text": "3. Datasets", "level": 1}, {"self_ref": "#/texts/36", "parent": {"cref": "#/body"}, "children": [], "content_layer": "body", "label": "text", "prov": [{"page_no": 3, "bbox": {"l": 62.067, "t": 135.30600000000004, "r": 286.365, "b": 126.75400000000002, "coord_origin": "BOTTOMLEFT"}, "charspan": [0, 55]}], "orig": "We rely on large-scale datasets such as PubTabNet [37],", "text": "We rely on large-scale datasets such as PubTabNet [37],"}, {"self_ref": "#/texts/37", "parent": {"cref": "#/pictures/3"}, "children": [], "content_layer": "body", "label": "caption", "prov": [{"page_no": 3, "bbox": {"l": 308.862, "t": 523.895, "r": 346.062, "b": 515.343, "coord_origin": "BOTTOMLEFT"}, "charspan": [0, 9]}], "orig": "Figure 2:", "text": "Figure 2:"}, {"self_ref": "#/texts/38", "parent": {"cref": "#/pictures/3"}, "children": [], "content_layer": "body", "label": "section_header", "prov": [{"page_no": 3, "bbox": {"l": 380.799, "t": 711.846, "r": 486.849, "b": 703.533, "coord_origin": "BOTTOMLEFT"}, "charspan": [0, 21]}], "orig": "PubTabNet + FinTabNet", "text": "PubTabNet + FinTabNet", "level": 1}, {"self_ref": "#/texts/39", "parent": {"cref": "#/body"}, "children": [], "content_layer": "body", "label": "text", "prov": [{"page_no": 3, "bbox": {"l": 308.862, "t": 474.258, "r": 437.27, "b": 465.706, "coord_origin": "BOTTOMLEFT"}, "charspan": [0, 33]}], "orig": "balance in the previous datasets.", "text": "balance in the previous datasets."}, {"self_ref": "#/texts/40", "parent": {"cref": "#/body"}, "children": [], "content_layer": "body", "label": "text", "prov": [{"page_no": 3, "bbox": {"l": 320.817, "t": 460.2, "r": 545.115, "b": 451.648, "coord_origin": "BOTTOMLEFT"}, "charspan": [0, 55]}], "orig": "The PubTabNet dataset contains 509k tables delivered as", "text": "The PubTabNet dataset contains 509k tables delivered as"}, {"self_ref": "#/texts/41", "parent": {"cref": "#/body"}, "children": [], "content_layer": "body", "label": "text", "prov": [{"page_no": 3, "bbox": {"l": 320.817, "t": 159.21699999999998, "r": 545.115, "b": 150.66499999999996, "coord_origin": "BOTTOMLEFT"}, "charspan": [0, 55]}], "orig": "Due to the heterogeneity across the dataset formats, it", "text": "Due to the heterogeneity across the dataset formats, it"}, {"self_ref": "#/texts/42", "parent": {"cref": "#/body"}, "children": [], "content_layer": "furniture", "label": "page_footer", "prov": [{"page_no": 3, "bbox": {"l": 295.121, "t": 57.597999999999956, "r": 300.102, "b": 49.04600000000005, "coord_origin": "BOTTOMLEFT"}, "charspan": [0, 1]}], "orig": "3", "text": "3"}, {"self_ref": "#/texts/43", "parent": {"cref": "#/body"}, "children": [], "content_layer": "body", "label": "text", "prov": [{"page_no": 4, "bbox": {"l": 50.112, "t": 716.523, "r": 286.365, "b": 707.971, "coord_origin": "BOTTOMLEFT"}, "charspan": [0, 55]}], "orig": "amount of such tables, and kept only those ones ranging", "text": "amount of such tables, and kept only those ones ranging"}, {"self_ref": "#/texts/44", "parent": {"cref": "#/body"}, "children": [], "content_layer": "body", "label": "text", "prov": [{"page_no": 4, "bbox": {"l": 62.067, "t": 690.771, "r": 286.365, "b": 682.219, "coord_origin": "BOTTOMLEFT"}, "charspan": [0, 58]}], "orig": "The availability of the bounding boxes for all table cells", "text": "The availability of the bounding boxes for all table cells"}, {"self_ref": "#/texts/45", "parent": {"cref": "#/body"}, "children": [], "content_layer": "body", "label": "text", "prov": [{"page_no": 4, "bbox": {"l": 62.067, "t": 473.736, "r": 286.365, "b": 465.184, "coord_origin": "BOTTOMLEFT"}, "charspan": [0, 60]}], "orig": "As it is illustrated in Fig. 2, the table distributions from", "text": "As it is illustrated in Fig. 2, the table distributions from"}, {"self_ref": "#/texts/46", "parent": {"cref": "#/body"}, "children": [], "content_layer": "body", "label": "text", "prov": [{"page_no": 4, "bbox": {"l": 62.067, "t": 352.342, "r": 286.365, "b": 343.79, "coord_origin": "BOTTOMLEFT"}, "charspan": [0, 54]}], "orig": "Motivated by those observations we aimed at generating", "text": "Motivated by those observations we aimed at generating"}, {"self_ref": "#/texts/47", "parent": {"cref": "#/body"}, "children": [], "content_layer": "body", "label": "text", "prov": [{"page_no": 4, "bbox": {"l": 62.067, "t": 159.21699999999998, "r": 286.365, "b": 150.66499999999996, "coord_origin": "BOTTOMLEFT"}, "charspan": [0, 57]}], "orig": "In this regard, we have prepared four synthetic datasets,", "text": "In this regard, we have prepared four synthetic datasets,"}, {"self_ref": "#/texts/48", "parent": {"cref": "#/tables/2"}, "children": [], "content_layer": "body", "label": "caption", "prov": [{"page_no": 4, "bbox": {"l": 308.862, "t": 624.07, "r": 330.75, "b": 615.518, "coord_origin": "BOTTOMLEFT"}, "charspan": [0, 5]}], "orig": "Table", "text": "Table"}, {"self_ref": "#/texts/49", "parent": {"cref": "#/body"}, "children": [], "content_layer": "body", "label": "text", "prov": [{"page_no": 4, "bbox": {"l": 308.862, "t": 542.111, "r": 545.115, "b": 533.559, "coord_origin": "BOTTOMLEFT"}, "charspan": [0, 59]}], "orig": "one adopts a colorful appearance with high contrast and the", "text": "one adopts a colorful appearance with high contrast and the"}, {"self_ref": "#/texts/50", "parent": {"cref": "#/body"}, "children": [], "content_layer": "body", "label": "text", "prov": [{"page_no": 4, "bbox": {"l": 320.817, "t": 493.959, "r": 542.744, "b": 485.407, "coord_origin": "BOTTOMLEFT"}, "charspan": [0, 57]}], "orig": "Tab. 1 summarizes the various attributes of the datasets.", "text": "Tab. 1 summarizes the various attributes of the datasets."}, {"self_ref": "#/texts/51", "parent": {"cref": "#/body"}, "children": [], "content_layer": "body", "label": "section_header", "prov": [{"page_no": 4, "bbox": {"l": 308.862, "t": 470.816, "r": 444.936, "b": 460.068, "coord_origin": "BOTTOMLEFT"}, "charspan": [0, 24]}], "orig": "4. The TableFormer model", "text": "4. The TableFormer model", "level": 1}, {"self_ref": "#/texts/52", "parent": {"cref": "#/body"}, "children": [], "content_layer": "body", "label": "text", "prov": [{"page_no": 4, "bbox": {"l": 320.817, "t": 449.792, "r": 545.115, "b": 441.24, "coord_origin": "BOTTOMLEFT"}, "charspan": [0, 55]}], "orig": "Given the image of a table, TableFormer is able to pre-", "text": "Given the image of a table, TableFormer is able to pre-"}, {"self_ref": "#/texts/53", "parent": {"cref": "#/body"}, "children": [], "content_layer": "body", "label": "section_header", "prov": [{"page_no": 4, "bbox": {"l": 308.862, "t": 334.306, "r": 420.161, "b": 324.454, "coord_origin": "BOTTOMLEFT"}, "charspan": [0, 24]}], "orig": "4.1. Model architecture.", "text": "4.1. Model architecture.", "level": 1}, {"self_ref": "#/texts/54", "parent": {"cref": "#/body"}, "children": [], "content_layer": "body", "label": "text", "prov": [{"page_no": 4, "bbox": {"l": 320.817, "t": 314.966, "r": 545.115, "b": 306.414, "coord_origin": "BOTTOMLEFT"}, "charspan": [0, 52]}], "orig": "We now describe in detail the proposed method, which", "text": "We now describe in detail the proposed method, which"}, {"self_ref": "#/texts/55", "parent": {"cref": "#/body"}, "children": [], "content_layer": "body", "label": "text", "prov": [{"page_no": 4, "bbox": {"l": 320.817, "t": 123.73900000000003, "r": 431.91, "b": 114.78300000000002, "coord_origin": "BOTTOMLEFT"}, "charspan": [0, 21]}], "orig": "CNN Backbone Network.", "text": "CNN Backbone Network."}, {"self_ref": "#/texts/56", "parent": {"cref": "#/body"}, "children": [], "content_layer": "furniture", "label": "page_footer", "prov": [{"page_no": 4, "bbox": {"l": 295.121, "t": 57.597999999999956, "r": 300.102, "b": 49.04600000000005, "coord_origin": "BOTTOMLEFT"}, "charspan": [0, 1]}], "orig": "4", "text": "4"}, {"self_ref": "#/texts/57", "parent": {"cref": "#/pictures/4"}, "children": [], "content_layer": "body", "label": "caption", "prov": [{"page_no": 5, "bbox": {"l": 50.112, "t": 587.626, "r": 86.884, "b": 579.074, "coord_origin": "BOTTOMLEFT"}, "charspan": [0, 9]}], "orig": "Figure 3:", "text": "Figure 3:"}, {"self_ref": "#/texts/58", "parent": {"cref": "#/pictures/5"}, "children": [], "content_layer": "body", "label": "caption", "prov": [{"page_no": 5, "bbox": {"l": 50.112, "t": 263.82899999999995, "r": 85.878, "b": 255.27700000000004, "coord_origin": "BOTTOMLEFT"}, "charspan": [0, 9]}], "orig": "Figure 4:", "text": "Figure 4:"}, {"self_ref": "#/texts/59", "parent": {"cref": "#/body"}, "children": [], "content_layer": "body", "label": "text", "prov": [{"page_no": 5, "bbox": {"l": 308.862, "t": 542.197, "r": 545.115, "b": 533.645, "coord_origin": "BOTTOMLEFT"}, "charspan": [0, 60]}], "orig": "forming classification, and adding an adaptive pooling layer", "text": "forming classification, and adding an adaptive pooling layer"}, {"self_ref": "#/texts/60", "parent": {"cref": "#/body"}, "children": [], "content_layer": "body", "label": "text", "prov": [{"page_no": 5, "bbox": {"l": 320.817, "t": 494.66, "r": 400.866, "b": 485.704, "coord_origin": "BOTTOMLEFT"}, "charspan": [0, 18]}], "orig": "Structure Decoder.", "text": "Structure Decoder."}, {"self_ref": "#/texts/61", "parent": {"cref": "#/body"}, "children": [], "content_layer": "body", "label": "text", "prov": [{"page_no": 5, "bbox": {"l": 320.817, "t": 374.617, "r": 336.309, "b": 366.065, "coord_origin": "BOTTOMLEFT"}, "charspan": [0, 3]}], "orig": "The", "text": "The"}, {"self_ref": "#/texts/62", "parent": {"cref": "#/body"}, "children": [], "content_layer": "body", "label": "text", "prov": [{"page_no": 5, "bbox": {"l": 320.817, "t": 243.39499999999998, "r": 404.762, "b": 234.43899999999996, "coord_origin": "BOTTOMLEFT"}, "charspan": [0, 18]}], "orig": "Cell BBox Decoder.", "text": "Cell BBox Decoder."}, {"self_ref": "#/texts/63", "parent": {"cref": "#/body"}, "children": [], "content_layer": "body", "label": "text", "prov": [{"page_no": 5, "bbox": {"l": 320.817, "t": 135.30600000000004, "r": 444.343, "b": 126.75400000000002, "coord_origin": "BOTTOMLEFT"}, "charspan": [0, 29]}], "orig": "The encoding generated by the", "text": "The encoding generated by the"}, {"self_ref": "#/texts/64", "parent": {"cref": "#/body"}, "children": [], "content_layer": "furniture", "label": "page_footer", "prov": [{"page_no": 5, "bbox": {"l": 295.121, "t": 57.597999999999956, "r": 300.102, "b": 49.04600000000005, "coord_origin": "BOTTOMLEFT"}, "charspan": [0, 1]}], "orig": "5", "text": "5"}, {"self_ref": "#/texts/65", "parent": {"cref": "#/body"}, "children": [], "content_layer": "body", "label": "text", "prov": [{"page_no": 6, "bbox": {"l": 50.112, "t": 716.523, "r": 286.365, "b": 707.971, "coord_origin": "BOTTOMLEFT"}, "charspan": [0, 59]}], "orig": "tention encoding is then multiplied to the encoded image to", "text": "tention encoding is then multiplied to the encoded image to"}, {"self_ref": "#/texts/66", "parent": {"cref": "#/body"}, "children": [], "content_layer": "body", "label": "text", "prov": [{"page_no": 6, "bbox": {"l": 62.067, "t": 632.107, "r": 108.154, "b": 623.555, "coord_origin": "BOTTOMLEFT"}, "charspan": [0, 10]}], "orig": "The output", "text": "The output"}, {"self_ref": "#/texts/67", "parent": {"cref": "#/body"}, "children": [], "content_layer": "body", "label": "text", "prov": [{"page_no": 6, "bbox": {"l": 62.067, "t": 548.078, "r": 129.215, "b": 539.122, "coord_origin": "BOTTOMLEFT"}, "charspan": [0, 15]}], "orig": "Loss Functions.", "text": "Loss Functions."}, {"self_ref": "#/texts/68", "parent": {"cref": "#/body"}, "children": [], "content_layer": "body", "label": "text", "prov": [{"page_no": 6, "bbox": {"l": 62.067, "t": 343.721, "r": 286.365, "b": 335.169, "coord_origin": "BOTTOMLEFT"}, "charspan": [0, 56]}], "orig": "The loss used to train the TableFormer can be defined as", "text": "The loss used to train the TableFormer can be defined as"}, {"self_ref": "#/texts/69", "parent": {"cref": "#/body"}, "children": [], "content_layer": "body", "label": "formula", "prov": [{"page_no": 6, "bbox": {"l": 125.715, "t": 298.609, "r": 128.688, "b": 289.903, "coord_origin": "BOTTOMLEFT"}, "charspan": [0, 1]}], "orig": "l", "text": ""}, {"self_ref": "#/texts/70", "parent": {"cref": "#/body"}, "children": [], "content_layer": "body", "label": "text", "prov": [{"page_no": 6, "bbox": {"l": 50.112, "t": 260.422, "r": 74.451, "b": 251.87, "coord_origin": "BOTTOMLEFT"}, "charspan": [0, 5]}], "orig": "where", "text": "where"}, {"self_ref": "#/texts/71", "parent": {"cref": "#/body"}, "children": [], "content_layer": "body", "label": "section_header", "prov": [{"page_no": 6, "bbox": {"l": 50.112, "t": 236.08299999999997, "r": 171.983, "b": 225.33500000000004, "coord_origin": "BOTTOMLEFT"}, "charspan": [0, 23]}], "orig": "5. Experimental Results", "text": "5. Experimental Results", "level": 1}, {"self_ref": "#/texts/72", "parent": {"cref": "#/body"}, "children": [], "content_layer": "body", "label": "section_header", "prov": [{"page_no": 6, "bbox": {"l": 50.112, "t": 215.736, "r": 179.175, "b": 205.88400000000001, "coord_origin": "BOTTOMLEFT"}, "charspan": [0, 27]}], "orig": "5.1. Implementation Details", "text": "5.1. Implementation Details", "level": 1}, {"self_ref": "#/texts/73", "parent": {"cref": "#/body"}, "children": [], "content_layer": "body", "label": "text", "prov": [{"page_no": 6, "bbox": {"l": 62.067, "t": 195.99700000000007, "r": 202.978, "b": 187.44499999999994, "coord_origin": "BOTTOMLEFT"}, "charspan": [0, 33]}], "orig": "TableFormer uses ResNet-18 as the", "text": "TableFormer uses ResNet-18 as the"}, {"self_ref": "#/texts/74", "parent": {"cref": "#/body"}, "children": [], "content_layer": "body", "label": "formula", "prov": [{"page_no": 6, "bbox": {"l": 91.661, "t": 137.18600000000004, "r": 186.017, "b": 128.63400000000001, "coord_origin": "BOTTOMLEFT"}, "charspan": [0, 22]}], "orig": "Image width and height", "text": ""}, {"self_ref": "#/texts/75", "parent": {"cref": "#/body"}, "children": [], "content_layer": "body", "label": "text", "prov": [{"page_no": 6, "bbox": {"l": 50.112, "t": 99.44100000000003, "r": 286.365, "b": 90.88900000000001, "coord_origin": "BOTTOMLEFT"}, "charspan": [0, 58]}, {"page_no": 6, "bbox": {"l": 50.112, "t": 99.44100000000003, "r": 286.365, "b": 90.88900000000001, "coord_origin": "BOTTOMLEFT"}, "charspan": [59, 115]}], "orig": "Although input constraints are used also by other methods, runtime performance and lower memory footprint of Table-", "text": "Although input constraints are used also by other methods, runtime performance and lower memory footprint of Table-"}, {"self_ref": "#/texts/76", "parent": {"cref": "#/body"}, "children": [], "content_layer": "body", "label": "text", "prov": [{"page_no": 6, "bbox": {"l": 320.817, "t": 675.502, "r": 545.115, "b": 666.95, "coord_origin": "BOTTOMLEFT"}, "charspan": [0, 52]}], "orig": "The Transformer Encoder consists of two 'Transformer", "text": "The Transformer Encoder consists of two 'Transformer"}, {"self_ref": "#/texts/77", "parent": {"cref": "#/body"}, "children": [], "content_layer": "body", "label": "text", "prov": [{"page_no": 6, "bbox": {"l": 320.817, "t": 455.154, "r": 545.115, "b": 446.602, "coord_origin": "BOTTOMLEFT"}, "charspan": [0, 54]}], "orig": "For training, TableFormer is trained with 3 Adam opti-", "text": "For training, TableFormer is trained with 3 Adam opti-"}, {"self_ref": "#/texts/78", "parent": {"cref": "#/body"}, "children": [], "content_layer": "body", "label": "text", "prov": [{"page_no": 6, "bbox": {"l": 320.817, "t": 354.357, "r": 545.115, "b": 345.805, "coord_origin": "BOTTOMLEFT"}, "charspan": [0, 52]}], "orig": "TableFormer is implemented with PyTorch and Torchvi-", "text": "TableFormer is implemented with PyTorch and Torchvi-"}, {"self_ref": "#/texts/79", "parent": {"cref": "#/body"}, "children": [], "content_layer": "body", "label": "section_header", "prov": [{"page_no": 6, "bbox": {"l": 308.862, "t": 212.44600000000003, "r": 397.443, "b": 202.59400000000005, "coord_origin": "BOTTOMLEFT"}, "charspan": [0, 19]}], "orig": "5.2. Generalization", "text": "5.2. Generalization", "level": 1}, {"self_ref": "#/texts/80", "parent": {"cref": "#/body"}, "children": [], "content_layer": "body", "label": "text", "prov": [{"page_no": 6, "bbox": {"l": 320.817, "t": 188.28200000000004, "r": 545.115, "b": 179.73000000000002, "coord_origin": "BOTTOMLEFT"}, "charspan": [0, 55]}], "orig": "TableFormer is evaluated on three major publicly avail-", "text": "TableFormer is evaluated on three major publicly avail-"}, {"self_ref": "#/texts/81", "parent": {"cref": "#/body"}, "children": [], "content_layer": "body", "label": "text", "prov": [{"page_no": 6, "bbox": {"l": 320.817, "t": 111.39599999999996, "r": 545.115, "b": 102.84400000000005, "coord_origin": "BOTTOMLEFT"}, "charspan": [0, 53]}], "orig": "We also share our baseline results on the challenging", "text": "We also share our baseline results on the challenging"}, {"self_ref": "#/texts/82", "parent": {"cref": "#/body"}, "children": [], "content_layer": "furniture", "label": "page_footer", "prov": [{"page_no": 6, "bbox": {"l": 295.121, "t": 57.597999999999956, "r": 300.102, "b": 49.04600000000005, "coord_origin": "BOTTOMLEFT"}, "charspan": [0, 1]}], "orig": "6", "text": "6"}, {"self_ref": "#/texts/83", "parent": {"cref": "#/body"}, "children": [], "content_layer": "body", "label": "section_header", "prov": [{"page_no": 7, "bbox": {"l": 50.112, "t": 717.599, "r": 167.898, "b": 707.747, "coord_origin": "BOTTOMLEFT"}, "charspan": [0, 25]}], "orig": "5.3. Datasets and Metrics", "text": "5.3. 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Details on the datasets", "text": "1. Details on the datasets", "level": 1}, {"self_ref": "#/texts/155", "parent": {"cref": "#/body"}, "children": [], "content_layer": "body", "label": "text", "prov": [{"page_no": 11, "bbox": {"l": 308.862, "t": 629.076, "r": 426.929, "b": 620.524, "coord_origin": "BOTTOMLEFT"}, "charspan": [0, 30]}], "orig": "ances in regard to their size,", "text": "ances in regard to their size,"}, {"self_ref": "#/texts/156", "parent": {"cref": "#/body"}, "children": [], "content_layer": "body", "label": "section_header", "prov": [{"page_no": 11, "bbox": {"l": 50.112, "t": 611.021, "r": 150.364, "b": 601.169, "coord_origin": "BOTTOMLEFT"}, "charspan": [0, 21]}], "orig": "1.1. Data preparation", "text": "1.1. Data preparation", "level": 1}, {"self_ref": "#/texts/157", "parent": {"cref": "#/body"}, "children": [], "content_layer": "body", "label": "text", "prov": [{"page_no": 11, "bbox": {"l": 62.067, "t": 591.811, "r": 286.365, "b": 583.259, "coord_origin": "BOTTOMLEFT"}, "charspan": [0, 56]}], "orig": "As a first step of our data preparation process, we have", "text": "As a first step of our data preparation process, we have"}, {"self_ref": "#/texts/158", "parent": {"cref": "#/body"}, "children": [], "content_layer": "body", "label": "text", "prov": [{"page_no": 11, "bbox": {"l": 62.067, "t": 400.326, "r": 236.243, "b": 391.774, "coord_origin": "BOTTOMLEFT"}, "charspan": [0, 40]}], "orig": "We have developed a technique that tries", "text": "We have developed a technique that tries"}, {"self_ref": "#/texts/159", "parent": {"cref": "#/body"}, "children": [], "content_layer": "body", "label": "text", "prov": [{"page_no": 11, "bbox": {"l": 62.067, "t": 161.02099999999996, "r": 286.365, "b": 152.46900000000005, "coord_origin": "BOTTOMLEFT"}, "charspan": [0, 58]}], "orig": "Figure 7 illustrates the distribution of the tables across", "text": "Figure 7 illustrates the distribution of the tables across"}, {"self_ref": "#/texts/160", "parent": {"cref": "#/body"}, "children": [], "content_layer": "body", "label": "section_header", "prov": [{"page_no": 11, "bbox": {"l": 50.112, "t": 129.61, "r": 153.608, "b": 119.75800000000004, "coord_origin": "BOTTOMLEFT"}, "charspan": [0, 23]}], "orig": "1.2. Synthetic datasets", "text": "1.2. Synthetic datasets", "level": 1}, {"self_ref": "#/texts/161", "parent": {"cref": "#/body"}, "children": [], "content_layer": "body", "label": "text", "prov": [{"page_no": 11, "bbox": {"l": 62.067, "t": 110.39999999999998, "r": 286.365, "b": 101.84799999999996, "coord_origin": "BOTTOMLEFT"}, "charspan": [0, 52]}], "orig": "Aiming to train and evaluate our models in a broader", "text": "Aiming to train and evaluate our models in a broader"}, {"self_ref": "#/texts/162", "parent": {"cref": "#/body"}, "children": [], "content_layer": "body", "label": "section_header", "prov": [{"page_no": 11, "bbox": {"l": 308.862, "t": 169.70900000000006, "r": 317.828, "b": 158.961, "coord_origin": "BOTTOMLEFT"}, "charspan": [0, 2]}], "orig": "2.", "text": "2.", "level": 1}, {"self_ref": "#/texts/163", "parent": {"cref": "#/body"}, "children": [], "content_layer": "body", "label": "text", "prov": [{"page_no": 11, "bbox": {"l": 320.817, "t": 580.496, "r": 545.115, "b": 571.944, "coord_origin": "BOTTOMLEFT"}, "charspan": [0, 56]}], "orig": "The process of generating a synthetic dataset can be de-", "text": "The process of generating a synthetic dataset can be de-"}, {"self_ref": "#/texts/164", "parent": {"cref": "#/groups/8"}, "children": [], "content_layer": "body", "label": "list_item", "prov": [{"page_no": 11, "bbox": {"l": 320.817, "t": 555.826, "r": 328.289, "b": 547.274, "coord_origin": "BOTTOMLEFT"}, "charspan": [0, 2]}], "orig": "1.", "text": "1.", "enumerated": false, "marker": "-"}, {"self_ref": "#/texts/165", "parent": {"cref": "#/groups/8"}, "children": [], "content_layer": "body", "label": "list_item", "prov": [{"page_no": 11, "bbox": {"l": 320.817, "t": 471.381, "r": 328.289, "b": 462.829, "coord_origin": "BOTTOMLEFT"}, "charspan": [0, 2]}], "orig": "2.", "text": "2.", "enumerated": false, "marker": "-"}, {"self_ref": "#/texts/166", "parent": {"cref": "#/groups/8"}, "children": [], "content_layer": "body", "label": "list_item", "prov": [{"page_no": 11, "bbox": {"l": 320.817, "t": 339.115, "r": 485.758, "b": 330.563, "coord_origin": "BOTTOMLEFT"}, "charspan": [0, 41]}], "orig": "3. Generate content: Based on the dataset", "text": "3. 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