docling/tests/data/groundtruth/docling_v1/2203.01017v2.json
Christoph Auer 1b9fcf0edf Fix streams
Signed-off-by: Christoph Auer <cau@zurich.ibm.com>
2025-03-11 16:31:42 +01:00

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Introduction", "type": "subtitle-level-1", "payload": null, "name": "Section-header", "font": null}, {"prov": [{"bbox": [62.067, 222.39599999999996, 166.266, 230.94799999999998], "page": 1, "span": [0, 24], "__ref_s3_data": null}], "text": "The occurrence of tables", "type": "paragraph", "payload": null, "name": "Text", "font": null}, {"prov": [{"bbox": [315.567, 565.338, 408.441, 573.651], "page": 1, "span": [0, 22], "__ref_s3_data": null}], "text": "a. Picture of a table:", "type": "subtitle-level-1", "payload": null, "name": "Section-header", "font": null}, {"name": "Picture", "type": "figure", "$ref": "#/figures/0"}, {"name": "Table", "type": "table", "$ref": "#/tables/0"}, {"prov": [{"bbox": [315.567, 469.65, 486.402, 477.963], "page": 1, "span": [0, 36], "__ref_s3_data": null}], "text": "- b. Red-annotation of bounding boxes,", "type": "paragraph", "payload": null, "name": "List-item", "font": null}, {"prov": [{"bbox": [315.567, 363.162, 491.191, 371.475], "page": 1, "span": [0, 38], "__ref_s3_data": null}], "text": "- c. Structure predicted by TableFormer:", "type": "paragraph", "payload": null, "name": "List-item", "font": null}, {"name": "Picture", "type": "figure", "$ref": "#/figures/1"}, {"name": "Picture", "type": "figure", "$ref": "#/figures/2"}, {"name": "Table", "type": "table", "$ref": "#/tables/1"}, {"prov": [{"bbox": [320.817, 198.76999999999998, 358.077, 207.322], "page": 1, "span": [0, 9], "__ref_s3_data": null}], "text": "Recently,", "type": "paragraph", "payload": null, "name": "Text", "font": null}, {"prov": [{"bbox": [320.817, 114.79899999999998, 545.115, 123.351], "page": 1, "span": [0, 55], "__ref_s3_data": null}], "text": "The first problem is called table-location and has been", "type": "paragraph", "payload": null, "name": "Text", "font": null}, {"prov": [{"bbox": [50.112, 707.971, 286.365, 716.523], "page": 2, "span": [0, 57], "__ref_s3_data": null}], "text": "considered as a solved problem, given enough ground-truth", "type": "paragraph", "payload": null, "name": "Text", "font": null}, {"prov": [{"bbox": [62.067, 683.608, 286.365, 692.16], "page": 2, "span": [0, 53], "__ref_s3_data": null}], "text": "The second problem is called table-structure decompo-", "type": "paragraph", "payload": null, "name": "Text", "font": null}, {"prov": [{"bbox": [62.067, 551.648, 286.365, 560.2], "page": 2, "span": [0, 54], "__ref_s3_data": null}], "text": "In this paper, we want to address these weaknesses and", "type": "paragraph", "payload": null, "name": "Text", "font": null}, {"prov": [{"bbox": [62.067, 407.733, 286.365, 416.285], "page": 2, "span": [0, 56], "__ref_s3_data": null}], "text": "To meet the design criteria listed above, we developed a", "type": "paragraph", "payload": null, "name": "Text", "font": null}, {"prov": [{"bbox": [61.569, 338.628, 65.056, 347.18], "page": 2, "span": [0, 1], "__ref_s3_data": null}], "text": "- \u2022", "type": "paragraph", "payload": null, "name": "List-item", "font": null}, {"prov": [{"bbox": [61.569, 281.026, 65.056, 289.578], "page": 2, "span": [0, 1], "__ref_s3_data": null}], "text": "- \u2022", "type": "paragraph", "payload": null, "name": "List-item", "font": null}, {"prov": [{"bbox": [61.569, 223.423, 65.056, 231.97500000000002], "page": 2, "span": [0, 1], "__ref_s3_data": null}], "text": "- \u2022", "type": "paragraph", "payload": null, "name": "List-item", "font": null}, {"prov": [{"bbox": [61.569, 177.77600000000007, 65.056, 186.32799999999997], "page": 2, "span": [0, 1], "__ref_s3_data": null}], "text": "- \u2022", "type": "paragraph", "payload": null, "name": "List-item", "font": null}, {"prov": [{"bbox": [62.067, 132.58100000000002, 204.452, 141.13300000000004], "page": 2, "span": [0, 35], "__ref_s3_data": null}], "text": "The paper is structured as follows.", "type": "paragraph", "payload": null, "name": "Text", "font": null}, {"prov": [{"bbox": [60.971, 82.57299999999998, 63.96, 87.70399999999995], "page": 2, "span": [0, 1], "__ref_s3_data": null}], "text": "1", "type": "footnote", "payload": null, "name": "Footnote", "font": null}, {"prov": [{"bbox": [308.862, 707.971, 545.115, 716.523], "page": 2, "span": [0, 60], "__ref_s3_data": null}], "text": "its results & performance in Sec. 5. As a conclusion, we de-", "type": "paragraph", "payload": null, "name": "Text", "font": null}, {"prov": [{"bbox": [308.862, 659.52, 498.28, 670.268], "page": 2, "span": [0, 37], "__ref_s3_data": null}], "text": "2. Previous work and State of the Art", "type": "subtitle-level-1", "payload": null, "name": "Section-header", "font": null}, {"prov": [{"bbox": [320.817, 640.958, 545.115, 649.51], "page": 2, "span": [0, 58], "__ref_s3_data": null}], "text": "Identifying the structure of a table has been an outstand-", "type": "paragraph", "payload": null, "name": "Text", "font": null}, {"prov": [{"bbox": [320.817, 449.61, 391.492, 458.162], "page": 2, "span": [0, 17], "__ref_s3_data": null}], "text": "Before the rising", "type": "paragraph", "payload": null, "name": "Text", "font": null}, {"prov": [{"bbox": [320.817, 329.976, 423.262, 338.932], "page": 2, "span": [0, 22], "__ref_s3_data": null}], "text": "Image-to-Text networks", "type": "paragraph", "payload": null, "name": "Text", "font": null}, {"prov": [{"bbox": [50.112, 707.971, 250.151, 716.523], "page": 3, "span": [0, 51], "__ref_s3_data": null}], "text": "tag-decoder which is constrained to the table-tags.", "type": "paragraph", "payload": null, "name": "Text", "font": null}, {"prov": [{"bbox": [62.067, 695.96, 70.366, 704.512], "page": 3, "span": [0, 2], "__ref_s3_data": null}], "text": "In", "type": "paragraph", "payload": null, "name": "Text", "font": null}, {"prov": [{"bbox": [62.067, 504.605, 90.301, 513.561], "page": 3, "span": [0, 5], "__ref_s3_data": null}], "text": "Graph", "type": "paragraph", "payload": null, "name": "Text", "font": null}, {"prov": [{"bbox": [62.067, 289.355, 252.881, 298.311], "page": 3, "span": [0, 40], "__ref_s3_data": null}], "text": "Hybrid Deep Learning-Rule-Based approach", "type": "paragraph", "payload": null, "name": "Text", "font": null}, {"prov": [{"bbox": [50.112, 145.30700000000002, 105.225, 156.05500000000006], "page": 3, "span": [0, 11], "__ref_s3_data": null}], "text": "3. Datasets", "type": "subtitle-level-1", "payload": null, "name": "Section-header", "font": null}, {"prov": [{"bbox": [62.067, 126.75400000000002, 286.365, 135.30600000000004], "page": 3, "span": [0, 55], "__ref_s3_data": null}], "text": "We rely on large-scale datasets such as PubTabNet [37],", "type": "paragraph", "payload": null, "name": "Text", "font": null}, {"name": "Picture", "type": "figure", "$ref": "#/figures/3"}, {"prov": [{"bbox": [308.862, 465.706, 437.27, 474.258], "page": 3, "span": [0, 33], "__ref_s3_data": null}], "text": "balance in the previous datasets.", "type": "paragraph", "payload": null, "name": "Text", "font": null}, {"prov": [{"bbox": [320.817, 451.648, 545.115, 460.2], "page": 3, "span": [0, 55], "__ref_s3_data": null}], "text": "The PubTabNet dataset contains 509k tables delivered as", "type": "paragraph", "payload": null, "name": "Text", "font": null}, {"prov": [{"bbox": [320.817, 150.66499999999996, 545.115, 159.21699999999998], "page": 3, "span": [0, 55], "__ref_s3_data": null}], "text": "Due to the heterogeneity across the dataset formats, it", "type": "paragraph", "payload": null, "name": "Text", "font": null}, {"prov": [{"bbox": [50.112, 707.971, 286.365, 716.523], "page": 4, "span": [0, 55], "__ref_s3_data": null}], "text": "amount of such tables, and kept only those ones ranging", "type": "paragraph", "payload": null, "name": "Text", "font": null}, {"prov": [{"bbox": [62.067, 682.219, 286.365, 690.771], "page": 4, "span": [0, 58], "__ref_s3_data": null}], "text": "The availability of the bounding boxes for all table cells", "type": "paragraph", "payload": null, "name": "Text", "font": null}, {"prov": [{"bbox": [62.067, 465.184, 286.365, 473.736], "page": 4, "span": [0, 60], "__ref_s3_data": null}], "text": "As it is illustrated in Fig. 2, the table distributions from", "type": "paragraph", "payload": null, "name": "Text", "font": null}, {"prov": [{"bbox": [62.067, 343.79, 286.365, 352.342], "page": 4, "span": [0, 54], "__ref_s3_data": null}], "text": "Motivated by those observations we aimed at generating", "type": "paragraph", "payload": null, "name": "Text", "font": null}, {"prov": [{"bbox": [62.067, 150.66499999999996, 286.365, 159.21699999999998], "page": 4, "span": [0, 57], "__ref_s3_data": null}], "text": "In this regard, we have prepared four synthetic datasets,", "type": "paragraph", "payload": null, "name": "Text", "font": null}, {"name": "Table", "type": "table", "$ref": "#/tables/2"}, {"prov": [{"bbox": [308.862, 615.518, 330.75, 624.07], "page": 4, "span": [0, 5], "__ref_s3_data": null}], "text": "Table", "type": "caption", "payload": null, "name": "Caption", "font": null}, {"prov": [{"bbox": [308.862, 533.559, 545.115, 542.111], "page": 4, "span": [0, 59], "__ref_s3_data": null}], "text": "one adopts a colorful appearance with high contrast and the", "type": "paragraph", "payload": null, "name": "Text", "font": null}, {"prov": [{"bbox": [320.817, 485.407, 542.744, 493.959], "page": 4, "span": [0, 57], "__ref_s3_data": null}], "text": "Tab. 1 summarizes the various attributes of the datasets.", "type": "paragraph", "payload": null, "name": "Text", "font": null}, {"prov": [{"bbox": [308.862, 460.068, 444.936, 470.816], "page": 4, "span": [0, 24], "__ref_s3_data": null}], "text": "4. The TableFormer model", "type": "subtitle-level-1", "payload": null, "name": "Section-header", "font": null}, {"prov": [{"bbox": [320.817, 441.24, 545.115, 449.792], "page": 4, "span": [0, 55], "__ref_s3_data": null}], "text": "Given the image of a table, TableFormer is able to pre-", "type": "paragraph", "payload": null, "name": "Text", "font": null}, {"prov": [{"bbox": [308.862, 324.454, 420.161, 334.306], "page": 4, "span": [0, 24], "__ref_s3_data": null}], "text": "4.1. Model architecture.", "type": "subtitle-level-1", "payload": null, "name": "Section-header", "font": null}, {"prov": [{"bbox": [320.817, 306.414, 545.115, 314.966], "page": 4, "span": [0, 52], "__ref_s3_data": null}], "text": "We now describe in detail the proposed method, which", "type": "paragraph", "payload": null, "name": "Text", "font": null}, {"prov": [{"bbox": [320.817, 114.78300000000002, 431.91, 123.73900000000003], "page": 4, "span": [0, 21], "__ref_s3_data": null}], "text": "CNN Backbone Network.", "type": "paragraph", "payload": null, "name": "Text", "font": null}, {"name": "Picture", "type": "figure", "$ref": "#/figures/4"}, {"name": "Picture", "type": "figure", "$ref": "#/figures/5"}, {"prov": [{"bbox": [308.862, 533.645, 545.115, 542.197], "page": 5, "span": [0, 60], "__ref_s3_data": null}], "text": "forming classification, and adding an adaptive pooling layer", "type": "paragraph", "payload": null, "name": "Text", "font": null}, {"prov": [{"bbox": [320.817, 485.704, 400.866, 494.66], "page": 5, "span": [0, 18], "__ref_s3_data": null}], "text": "Structure Decoder.", "type": "paragraph", "payload": null, "name": "Text", "font": null}, {"prov": [{"bbox": [320.817, 366.065, 336.309, 374.617], "page": 5, "span": [0, 3], "__ref_s3_data": null}], "text": "The", "type": "paragraph", "payload": null, "name": "Text", "font": null}, {"prov": [{"bbox": [320.817, 234.43899999999996, 404.762, 243.39499999999998], "page": 5, "span": [0, 18], "__ref_s3_data": null}], "text": "Cell BBox Decoder.", "type": "paragraph", "payload": null, "name": "Text", "font": null}, {"prov": [{"bbox": [320.817, 126.75400000000002, 444.343, 135.30600000000004], "page": 5, "span": [0, 29], "__ref_s3_data": null}], "text": "The encoding generated by the", "type": "paragraph", "payload": null, "name": "Text", "font": null}, {"prov": [{"bbox": [50.112, 707.971, 286.365, 716.523], "page": 6, "span": [0, 59], "__ref_s3_data": null}], "text": "tention encoding is then multiplied to the encoded image to", "type": "paragraph", "payload": null, "name": "Text", "font": null}, {"prov": [{"bbox": [62.067, 623.555, 108.154, 632.107], "page": 6, "span": [0, 10], "__ref_s3_data": null}], "text": "The output", "type": "paragraph", "payload": null, "name": "Text", "font": null}, {"prov": [{"bbox": [62.067, 539.122, 129.215, 548.078], "page": 6, "span": [0, 15], "__ref_s3_data": null}], "text": "Loss Functions.", "type": "paragraph", "payload": null, "name": "Text", "font": null}, {"prov": [{"bbox": [62.067, 335.169, 286.365, 343.721], "page": 6, "span": [0, 56], "__ref_s3_data": null}], "text": "The loss used to train the TableFormer can be defined as", "type": "paragraph", "payload": null, "name": "Text", "font": null}, {"prov": [{"bbox": [125.715, 289.903, 128.688, 298.609], "page": 6, "span": [0, 0], "__ref_s3_data": null}], "text": "", "type": "equation", "payload": null, "name": "Formula", "font": null}, {"prov": [{"bbox": [50.112, 251.87, 74.451, 260.422], "page": 6, "span": [0, 5], "__ref_s3_data": null}], "text": "where", "type": "paragraph", "payload": null, "name": "Text", "font": null}, {"prov": [{"bbox": [50.112, 225.33500000000004, 171.983, 236.08299999999997], "page": 6, "span": [0, 23], "__ref_s3_data": null}], "text": "5. Experimental Results", "type": "subtitle-level-1", "payload": null, "name": "Section-header", "font": null}, {"prov": [{"bbox": [50.112, 205.88400000000001, 179.175, 215.736], "page": 6, "span": [0, 27], "__ref_s3_data": null}], "text": "5.1. Implementation Details", "type": "subtitle-level-1", "payload": null, "name": "Section-header", "font": null}, {"prov": [{"bbox": [62.067, 187.44499999999994, 202.978, 195.99700000000007], "page": 6, "span": [0, 33], "__ref_s3_data": null}], "text": "TableFormer uses ResNet-18 as the", "type": "paragraph", "payload": null, "name": "Text", "font": null}, {"prov": [{"bbox": [91.661, 128.63400000000001, 186.017, 137.18600000000004], "page": 6, "span": [0, 0], "__ref_s3_data": null}], "text": "", "type": "equation", "payload": null, "name": "Formula", "font": null}, {"prov": [{"bbox": [50.112, 90.88900000000001, 286.365, 99.44100000000003], "page": 6, "span": [0, 115], "__ref_s3_data": null}, {"bbox": [50.112, 90.88900000000001, 286.365, 99.44100000000003], "page": 6, "span": [0, 115], "__ref_s3_data": null}], "text": "Although input constraints are used also by other methods, runtime performance and lower memory footprint of Table-", "type": "paragraph", "payload": null, "name": "Text", "font": null}, {"prov": [{"bbox": [320.817, 666.95, 545.115, 675.502], "page": 6, "span": [0, 52], "__ref_s3_data": null}], "text": "The Transformer Encoder consists of two 'Transformer", "type": "paragraph", "payload": null, "name": "Text", "font": null}, {"prov": [{"bbox": [320.817, 446.602, 545.115, 455.154], "page": 6, "span": [0, 54], "__ref_s3_data": null}], "text": "For training, TableFormer is trained with 3 Adam opti-", "type": "paragraph", "payload": null, "name": "Text", "font": null}, {"prov": [{"bbox": [320.817, 345.805, 545.115, 354.357], "page": 6, "span": [0, 52], "__ref_s3_data": null}], "text": "TableFormer is implemented with PyTorch and Torchvi-", "type": "paragraph", "payload": null, "name": "Text", "font": null}, {"prov": [{"bbox": [308.862, 202.59400000000005, 397.443, 212.44600000000003], "page": 6, "span": [0, 19], "__ref_s3_data": null}], "text": "5.2. 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