method: Human Performance2020-06-13

Authors: Task1 Organizers

Affiliation: CVIT, IIIT Hyderabad, CVC-UAB, Amazon

Description: Human performance on the test set.
A small group of volunteers were asked to enter an answer for the given question and the image.

method: BAIDU-DI2022-10-08

Authors: NLP-Document-Intelligence

Affiliation: Baidu

Description: 1. We assemble ERNIE-Layout and DocPrompt ;
2. DocPrompt, a Few-Shot model using multi-stage training based on ERNIE-Layout;
3. DocPrompt demo: https://huggingface.co/spaces/PaddlePaddle/ERNIE-Layout;
4. ERNIE-layout benchmark code: https://github.com/PaddlePaddle/PaddleNLP/tree/develop/model_zoo/ernie-layout

method: Tencent Youtu2022-03-31

Authors: Tencent Youtu Lab

Description: 1. We train a layout model to sort bounding boxes.
2. The text, layout and visual information is utilized by our DocLM, a pretrain model for visually-rich document understanding .

Ranking Table

Description Paper Source Code
DateMethodScoreFigure/DiagramFormTable/ListLayoutFree_textImage/PhotoHandwrittenYes/NoOthers
2020-06-13Human Performance0.98110.97560.98250.97800.98450.98390.97400.97170.99740.9828
2022-10-08BAIDU-DI0.90160.68230.91860.91390.91380.92340.68410.79490.61810.8344
2022-03-31Tencent Youtu0.88660.75760.94700.89320.88210.86540.66800.88770.48280.8413
2022-01-13ERNIE-Layout 2.00.88410.64340.91770.89960.88990.90100.62230.78360.61240.8118
2021-11-26Mybank-DocReader0.87550.66820.92330.87630.88960.87130.62900.80470.58050.7804
2021-09-06ERNIE-Layout 1.00.87530.65860.89720.88640.89020.89430.63920.73310.54340.8115
2021-02-12Applica.ai TILT0.87050.60820.94590.89800.85920.85810.55080.81390.68970.7788
2023-05-31PaLI-X (Google Research; Single Generative Model)0.86790.69710.89920.84000.89550.89250.75890.72090.89660.8468
2020-12-22LayoutLM 2.0 (single model)0.86720.65740.89530.87690.87910.87070.72870.67290.55170.8103
2020-08-16Alibaba DAMO NLP0.85060.66500.88090.85520.87330.83970.67580.76910.54920.7526
2020-05-16PingAn-OneConnect-Gammalab-DQA0.84840.60590.90210.84630.87300.83370.58120.76920.51720.7289
2023-02-21LayoutLMv2_star_seg_large0.84300.70080.87370.83890.85360.84980.68720.78230.61810.8252
2023-05-06Docugami-Layout0.80310.51760.88750.79020.82140.80260.50890.77530.42240.7022
2022-01-07LayoutLMV2-large on Textract0.78730.49240.87710.82180.77260.76610.48200.72760.37930.6983
2023-01-29LayoutLMv2_star_seg0.78590.53280.84060.78590.81280.79090.48790.64680.36440.6953
2023-05-25YoBerDaV2 Single-page0.77490.47370.88940.75860.79620.73980.47630.71730.75860.6976
2020-05-14Structural LM-v20.76740.49310.83810.76210.79240.75960.47560.62820.55170.6549
2022-09-18pix2struct-large0.76560.44240.88270.77020.77740.70850.53830.63200.75860.6536
2022-12-28Submission_ErnieLayout_base_finetuned_on_DocVQA_en_train_dev_textract_word_segments_ck-140000.75990.43130.86780.77260.76410.73300.45980.69570.48280.6097
2020-05-15QA_Base_MRC_20.74150.48540.80150.67380.79430.81360.57400.58310.52870.7161
2020-05-15QA_Base_MRC_10.74070.48900.79840.66750.79360.81310.58540.60990.49430.7384
2020-05-15QA_Base_MRC_40.73480.47350.80400.66470.78380.80430.56180.58100.45980.7332
2020-05-15QA_Base_MRC_30.73220.48520.79580.65620.78420.80440.56790.57300.45110.7171
2020-05-15QA_Base_MRC_50.72740.48580.78770.65500.77540.80470.54050.56190.45980.7084
2022-09-18pix2struct-base0.72130.41110.83860.72530.75030.64070.42110.57530.65520.5822
2023-01-27LayoutLM-base+GNN0.69840.47470.79730.68480.73220.63230.43980.55990.54310.5388
2021-12-05Electra Large Squad0.69610.44850.77030.63480.73640.76440.45940.54380.51720.6470
2023-05-25YoBerDaV1 Multi-page0.69040.34810.83350.64110.72530.68540.41910.62990.55170.6129
2020-05-16HyperDQA_V40.68930.38740.77920.63090.74780.71870.48670.56300.41380.5685
2020-05-16HyperDQA_V30.67690.38760.77740.61670.73320.69610.42960.53730.41380.5650
2020-05-16HyperDQA_V20.67340.38180.76660.61100.73320.68670.48340.55600.37930.5902
2020-05-09HyperDQA_V10.67170.40130.76930.61970.71670.69220.35980.55960.41380.5504
2022-09-22BROS_BASE (WebViCoB 6.4M)0.65630.37800.77570.66810.65570.61750.34970.57820.42240.5754
2021-12-04Bert Large0.64470.35020.75350.54880.69200.72660.41710.52540.55170.6076
2022-05-23Dessurt0.63220.31640.80580.64860.65200.48520.28620.58300.37930.4365
2020-05-09bert fulldata fintuned0.59000.41690.68700.42690.67100.73150.51240.49000.44830.5907
2020-05-01bert finetuned0.58720.29860.70110.48490.63590.69330.46220.47510.44830.4895
2020-04-30HyperDQA_V00.57150.31310.67800.47320.66300.57160.36230.43510.37930.4941
2022-04-27LayoutLMv2, Tesseract OCR eval (dataset OCR trained)0.49610.25440.55230.41770.54950.59140.28880.13610.20690.4187
2022-03-29LayoutLMv2, Tesseract OCR eval (Tesseract OCR trained)0.48150.22530.54400.42160.52070.57090.24300.13530.31030.3859
2020-04-27bert0.45570.22330.52590.26330.51130.77750.48590.35650.03450.5778
2020-05-16UGLIFT v0.1 (Clova OCR)0.44170.17660.56000.31780.53400.45200.22530.35730.44830.3356
2022-10-21Finetuning LayoutLMv3_Base 0.35960.21020.44980.38580.32620.34960.15520.34040.03450.2706
2020-05-14Plain BERT QA0.35240.16870.44890.20290.43210.48120.35170.30960.03450.3747
2020-05-16Clova OCR V00.34890.09770.48550.26700.38110.39580.24890.28750.03450.3062
2020-05-01HDNet0.34010.20400.46880.21810.47100.19160.24880.27360.13790.2458
2020-05-16CLOVA OCR0.32960.12460.46120.24550.36220.37460.16920.27360.06900.3205
2020-04-29docVQAQV_V0.10.30160.20100.38980.38100.29330.06640.18420.27360.15860.1695
2020-04-26docVQAQV_V00.23420.16460.31330.26230.24830.05490.22770.18560.10340.1635
2021-02-08seq2seq0.10810.07580.12830.08290.13320.08220.07860.07790.48280.1052
2020-06-16Test Submission0.00000.00000.00000.00000.00000.00000.00000.00000.00000.0000

Ranking Graphic