ForCenNet: Foreground-Centric Network for Document Image Rectification | Paper Citation Record

Observation bc2935a1-62b4-45c4-a36b-22d8c8c488ac · outbound

This paper cites Multi-label cluster discrimination for visual representation learning.

ForCenNet: Foreground-Centric Network for Document Image Rectification Multi-label cluster discrimination for visual representation learning

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:08:15.283362Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f642f1a3-fd02-4549-8ba1-dfbbb4bff02e · outbound

This paper cites A gated and bifurcated stacked u-net module for document image dewarping.

ForCenNet: Foreground-Centric Network for Document Image Rectification A gated and bifurcated stacked u-net module for document image dewarping

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:08:15.276447Z

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Observation e38361ef-e11d-4641-8e8f-93e0c84aa4fe · outbound

This paper cites Brown and W.B.

ForCenNet: Foreground-Centric Network for Document Image Rectification Brown and W.B

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:08:15.269861Z

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Observation 845a1c1f-d62a-4479-b6ee-44df9f491885 · outbound

This paper cites Rectify- ing the bound document image captured by the camera: a model based approach.

ForCenNet: Foreground-Centric Network for Document Image Rectification Rectify- ing the bound document image captured by the camera: a model based approach

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:08:15.262542Z

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Observation a60ead84-d01a-4f15-a262-7725374bdf20 · outbound

This paper cites Numerical meth- ods for engineers.

ForCenNet: Foreground-Centric Network for Document Image Rectification Numerical meth- ods for engineers

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:08:15.255283Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 4cd3b18e-383e-4cca-8cc5-063e62daa64e · outbound

This paper cites MataDoc: Margin and Text Aware Document Dewarping for Arbitrary Boundary.

ForCenNet: Foreground-Centric Network for Document Image Rectification MataDoc: Margin and Text Aware Document Dewarping for Arbitrary Boundary

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-08-06T14:08:14.925062Z

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Observation 73c70e76-2761-4c79-92b1-de6245628dd8 · outbound

This paper cites Dewarpnet: Single-image document unwarping with stacked 3d and 2d regression networks.

ForCenNet: Foreground-Centric Network for Document Image Rectification Dewarpnet: Single-image document unwarping with stacked 3d and 2d regression networks

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:08:15.247248Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 5e752546-5826-4ee5-adcc-efa52fd267ec · outbound

This paper cites End- to-end piece-wise unwarping of document images.

ForCenNet: Foreground-Centric Network for Document Image Rectification End- to-end piece-wise unwarping of document images

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:08:15.239395Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 23c70027-70b0-45b5-898a-1e10afd58cd8 · outbound

This paper cites DocTr: Document Image Transformer for Geometric Unwarping and Illumination Correction.

ForCenNet: Foreground-Centric Network for Document Image Rectification DocTr: Document Image Transformer for Geometric Unwarping and Illumination Correction

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T14:08:12.264176Z

Source-reported events for the cited work

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Observation eebba3dc-9a0e-4a81-b995-71e2bf4b89b7 · outbound

This paper cites DocScanner: Robust Document Image Rectification with Progressive Learning.

ForCenNet: Foreground-Centric Network for Document Image Rectification DocScanner: Robust Document Image Rectification with Progressive Learning

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-08-06T14:08:14.909828Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 9a185183-4392-4a23-903a-e931b584805b · outbound

This paper cites Geometric representation learning for document image rectification.

ForCenNet: Foreground-Centric Network for Document Image Rectification Geometric representation learning for document image rectification

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:08:15.230895Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation eb604f20-610e-4188-8116-66679f6c2159 · outbound

This paper cites Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour.

ForCenNet: Foreground-Centric Network for Document Image Rectification Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T14:08:12.434336Z

Source-reported events for the cited work

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Observation 79a3ecd1-1370-400e-9af7-48a40975a9a0 · outbound

This paper cites Breaking the modality barrier: Universal embedding learning with multimodal llms.

ForCenNet: Foreground-Centric Network for Document Image Rectification Breaking the modality barrier: Universal embedding learning with multimodal llms

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T14:08:12.491452Z

Source-reported events for the cited work

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Observation a056daad-4098-4aa2-8280-4837607f3682 · outbound

This paper cites Mask r-cnn.

ForCenNet: Foreground-Centric Network for Document Image Rectification Mask r-cnn

Reference 14

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Source-reported events for the cited work

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Observation 53452456-bfab-4bfc-bd4e-26ba1ae1db40 · outbound

This paper cites Template-guided illumination correction for document images with imperfect geometric reconstruction.

ForCenNet: Foreground-Centric Network for Document Image Rectification Template-guided illumination correction for document images with imperfect geometric reconstruction

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:08:15.219011Z

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Observation fcb11998-35ca-4cf2-a23c-6e29f831709e · outbound

This paper cites Densely connected convolutional net- works.

ForCenNet: Foreground-Centric Network for Document Image Rectification Densely connected convolutional net- works

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:08:15.212813Z

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Observation 851bd6d7-5bbb-4e24-8321-7d71602107c1 · outbound

This paper cites A transformer-based architecture for high-resolution stereo matching.

ForCenNet: Foreground-Centric Network for Document Image Rectification A transformer-based architecture for high-resolution stereo matching

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:08:15.206518Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 4d76f7ea-b501-42d2-ac66-3e47436b13e3 · outbound

This paper cites Revisiting document image dewarp- ing by grid regularization.

ForCenNet: Foreground-Centric Network for Document Image Rectification Revisiting document image dewarp- ing by grid regularization

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:08:15.200578Z

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Observation 0958caa5-66bf-4f8e-b8c9-8bef60a2c589 · outbound

This paper cites Bilinear interpola- tion.

ForCenNet: Foreground-Centric Network for Document Image Rectification Bilinear interpola- tion

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:08:15.194367Z

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Observation a908f385-1702-4739-ac27-7c85fee5eb6b · outbound

This paper cites Active contours network to straighten distorted text lines.

ForCenNet: Foreground-Centric Network for Document Image Rectification Active contours network to straighten distorted text lines

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:08:15.188492Z

Source-reported events for the cited work

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Observation 47026f99-f9e3-4367-86a0-f46312adc923 · outbound

This paper cites Binary coors capable or ‘correcting dele- tions, insertions, and reversals.

ForCenNet: Foreground-Centric Network for Document Image Rectification Binary coors capable or ‘correcting dele- tions, insertions, and reversals

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:08:15.177788Z

Source-reported events for the cited work

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Observation c32f5234-eb36-4019-b798-5d9987c90b8b · outbound

This paper cites Foreground and text-lines aware document image rectifica- tion.

ForCenNet: Foreground-Centric Network for Document Image Rectification Foreground and text-lines aware document image rectifica- tion

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:08:15.171054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c84febc0-fcf3-41db-8f09-ef62f72c3516 · outbound

This paper cites Layout-aware single-image document flattening.

ForCenNet: Foreground-Centric Network for Document Image Rectification Layout-aware single-image document flattening

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:08:15.165061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 6ab5cfcd-796e-4ee7-b965-010059513cbf · outbound

This paper cites an unresolved cited work.

ForCenNet: Foreground-Centric Network for Document Image Rectification Unresolved cited work

Reference 24

Resolution: unresolved; raw_fallback, observed 2026-08-06T14:08:15.158554Z

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Observation 3aeb9635-46d3-448c-9c90-93fd72659ee7 · outbound

This paper cites Microsoft coco: Common objects in context.

ForCenNet: Foreground-Centric Network for Document Image Rectification Microsoft coco: Common objects in context

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:08:15.152254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 7ad656b6-e1bb-49f7-942e-0b242e922ebd · outbound

This paper cites Sift flow: Dense correspondence across scenes and its applications.

ForCenNet: Foreground-Centric Network for Document Image Rectification Sift flow: Dense correspondence across scenes and its applications

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:08:15.146151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3c409417-7540-4026-827e-42969f977bd1 · outbound

This paper cites Rethinking su- pervision in document unwarping: A self-consistent flow- free approach.

ForCenNet: Foreground-Centric Network for Document Image Rectification Rethinking su- pervision in document unwarping: A self-consistent flow- free approach

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:08:15.139465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 9973daf7-0334-43ca-9f78-120b9c07c0ca · outbound

This paper cites Decoupled weight decay regularization.

ForCenNet: Foreground-Centric Network for Document Image Rectification Decoupled weight decay regularization

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:08:15.132994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e24e081b-e460-4849-ae8b-f3e56624e1cd · outbound

This paper cites Docunet: Document image unwarping via a stacked u- net.

ForCenNet: Foreground-Centric Network for Document Image Rectification Docunet: Document image unwarping via a stacked u- net

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:08:15.126472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 84976fc3-116b-4f4e-b01c-b4d0f57f502b · outbound

This paper cites Learning from documents in the wild to improve document unwarping.

ForCenNet: Foreground-Centric Network for Document Image Rectification Learning from documents in the wild to improve document unwarping

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:08:15.119743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 62a27e60-8b30-455d-b866-964ac9c4f1ef · outbound

This paper cites Metric rectification of curved document images.

ForCenNet: Foreground-Centric Network for Document Image Rectification Metric rectification of curved document images

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:08:15.113077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a432fd2c-3c13-42d8-8f4d-2381d39b1591 · outbound

This paper cites From wer and ril to mer and wil: improved evaluation mea- sures for connected speech recognition.

ForCenNet: Foreground-Centric Network for Document Image Rectification From wer and ril to mer and wil: improved evaluation mea- sures for connected speech recognition

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:08:15.106271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 22e26014-81e0-4d92-aa26-92d1b6670978 · outbound

This paper cites Paddleocr: A practical and easy-to-use ocr tool for multilingual scenarios.

ForCenNet: Foreground-Centric Network for Document Image Rectification Paddleocr: A practical and easy-to-use ocr tool for multilingual scenarios

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:08:15.099589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c2894ef1-a419-4776-9760-4df74aab9ef1 · outbound

This paper cites Automatic differentiation in pytorch.

ForCenNet: Foreground-Centric Network for Document Image Rectification Automatic differentiation in pytorch

Reference 34

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Source-reported events for the cited work

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Observation a6f5a070-a83b-4991-9a30-cb16807ab483 · outbound

This paper cites B´ezier and B-spline techniques.

ForCenNet: Foreground-Centric Network for Document Image Rectification B´ezier and B-spline techniques

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:08:15.089403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 2364edb1-db36-4068-a062-96812cb3bbab · outbound

This paper cites U- net: Convolutional networks for biomedical image segmen- tation.

ForCenNet: Foreground-Centric Network for Document Image Rectification U- net: Convolutional networks for biomedical image segmen- tation

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:08:15.083499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e4deff5d-f8d5-49dc-a5e3-a6f8a05af852 · outbound

This paper cites Smith and Nicholay Topin.

ForCenNet: Foreground-Centric Network for Document Image Rectification Smith and Nicholay Topin

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:08:15.077412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d7cd810f-b692-4202-ad33-afc927732580 · outbound

This paper cites An overview of the tesseract ocr engine.

ForCenNet: Foreground-Centric Network for Document Image Rectification An overview of the tesseract ocr engine

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:08:15.071377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d6f5455f-1a0f-4155-b281-e8a8d0e5a7ad · outbound

This paper cites Raft: Recurrent all-pairs field transforms for optical flow (extended abstract).

ForCenNet: Foreground-Centric Network for Document Image Rectification Raft: Recurrent all-pairs field transforms for optical flow (extended abstract)

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:08:15.065358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 4fbaf870-1b9e-46d5-a795-b08a4de8bef8 · outbound

This paper cites Training data-efficient image transformers & distillation through at- tention.

ForCenNet: Foreground-Centric Network for Document Image Rectification Training data-efficient image transformers & distillation through at- tention

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:08:15.058747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 11dda4d3-d8f7-43f7-b76d-73bcf2a497db · outbound

This paper cites Document image dewarping using robust estimation of curled text lines.

ForCenNet: Foreground-Centric Network for Document Image Rectification Document image dewarping using robust estimation of curled text lines

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:08:15.052177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 521eb5c7-38dc-4bad-b126-80507a7e6d2d · outbound

This paper cites Gomez, Lukasz Kaiser, and Illia Polosukhin.

ForCenNet: Foreground-Centric Network for Document Image Rectification Gomez, Lukasz Kaiser, and Illia Polosukhin

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:08:15.045765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation baa0cd49-b611-4d6f-acf0-77cd02bdb32b · outbound

This paper cites Uvdoc: Neural grid-based document unwarping.

ForCenNet: Foreground-Centric Network for Document Image Rectification Uvdoc: Neural grid-based document unwarping

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:08:15.038987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 7cced00c-265a-40d9-bda1-863c5bdfda07 · outbound

This paper cites Lsd: A fast line seg- ment detector with a false detection control.

ForCenNet: Foreground-Centric Network for Document Image Rectification Lsd: A fast line seg- ment detector with a false detection control

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:08:15.032085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 0ae22b59-f12b-4be2-94b8-ce43ea5a7212 · outbound

This paper cites Pyramid vision transformer: A versatile backbone for dense prediction without convolutions.

ForCenNet: Foreground-Centric Network for Document Image Rectification Pyramid vision transformer: A versatile backbone for dense prediction without convolutions

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-06T14:08:14.773318Z

Source-reported events for the cited work

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Observation 0dd3d460-4dc9-4806-9cb6-ec67271342f0 · outbound

This paper cites Wang, A.C.

ForCenNet: Foreground-Centric Network for Document Image Rectification Wang, A.C

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:08:15.022236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 46a43d3d-62e8-4520-ad29-4760dcd9b2b0 · outbound

This paper cites Document image de- warping for text/graphics recognition.

ForCenNet: Foreground-Centric Network for Document Image Rectification Document image de- warping for text/graphics recognition

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:08:15.016300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 70caf4b3-b009-4c08-b72f-f2e349706f04 · outbound

This paper cites Document dewarping with control points.

ForCenNet: Foreground-Centric Network for Document Image Rectification Document dewarping with control points

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:08:15.010380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 762ea21e-02a3-4ab9-b470-b747cf7dc839 · outbound

This paper cites Fourier document restoration for robust document dewarping and recognition.

ForCenNet: Foreground-Centric Network for Document Image Rectification Fourier document restoration for robust document dewarping and recognition

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:08:15.003822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8b43a671-84ea-4eb2-a02b-2e0450aa0229 · outbound

This paper cites Clip-cid: Efficient clip distillation via cluster-instance discrimination.

ForCenNet: Foreground-Centric Network for Document Image Rectification Clip-cid: Efficient clip distillation via cluster-instance discrimination

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:08:14.997750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 94bc6c43-a55e-42f1-9216-bdbe2ff5bba8 · outbound

This paper cites Hi-sam: Marrying segment anything model for hierarchical text segmentation.

ForCenNet: Foreground-Centric Network for Document Image Rectification Hi-sam: Marrying segment anything model for hierarchical text segmentation

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:08:14.991649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c831762a-87ad-4abd-a24b-966eb185fbd8 · outbound

This paper cites Multiview rectification of folded documents.

ForCenNet: Foreground-Centric Network for Document Image Rectification Multiview rectification of folded documents

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:08:14.985499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b39d0836-c609-408b-992c-11670c949dbb · outbound

This paper cites Docreal: Robust document dewarping of real-life images via attention-enhanced control point prediction.

ForCenNet: Foreground-Centric Network for Document Image Rectification Docreal: Robust document dewarping of real-life images via attention-enhanced control point prediction

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:08:14.979553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 975988bc-a7ab-4ea5-aafb-be3e85eff7cc · outbound

This paper cites Marior: Margin Removal and Iterative Content Rectification for Document Dewarping in the Wild.

ForCenNet: Foreground-Centric Network for Document Image Rectification Marior: Margin Removal and Iterative Content Rectification for Document Dewarping in the Wild

Reference 54

Resolution: verified exact; local_arxiv, observed 2026-08-06T14:08:14.831462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 571544cb-47fa-43d2-ba61-9ea4b94a1670 · outbound

This paper cites Docres: A generalist model toward unifying document image restoration tasks.

ForCenNet: Foreground-Centric Network for Document Image Rectification Docres: A generalist model toward unifying document image restoration tasks

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:08:14.972717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 55b59cca-7f22-4dda-a329-067bd8124100 · outbound

This paper cites Pub- laynet: largest dataset ever for document layout analysis.

ForCenNet: Foreground-Centric Network for Document Image Rectification Pub- laynet: largest dataset ever for document layout analysis

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:08:14.965531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8feeed84-7419-45c0-8a9e-7b78427bb848 · outbound

This paper cites To investigate the impact of sam- pling density on geometric fidelity, we evaluate line sam- pling intervals of 2, 4, 8, 16, and 32 pixels on the DocUNet dataset.

ForCenNet: Foreground-Centric Network for Document Image Rectification To investigate the impact of sam- pling density on geometric fidelity, we evaluate line sam- pling intervals of 2, 4, 8, 16, and 32 pixels on the DocUNet dataset

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:08:14.958882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 95084777-b1a3-48c0-bbb8-fdca879bb727 · outbound

This paper cites an unresolved cited work.

ForCenNet: Foreground-Centric Network for Document Image Rectification Unresolved cited work

Reference 58

Resolution: unresolved; raw_fallback, observed 2026-08-06T14:08:14.952402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 5ca2515a-29f0-43c7-bef1-142d24c07299 · outbound

This paper cites This task aims to restore a pristine appearance similar to that produced by a scanner or digital PDF file, without being limited to specific degra- dation types.

ForCenNet: Foreground-Centric Network for Document Image Rectification This task aims to restore a pristine appearance similar to that produced by a scanner or digital PDF file, without being limited to specific degra- dation types

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:08:14.945960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 806dae35-671c-4302-9bd6-43aeb10a8db1 · outbound

This paper cites However, a certain bias arises due to incomplete sampling.

ForCenNet: Foreground-Centric Network for Document Image Rectification However, a certain bias arises due to incomplete sampling

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:08:14.939155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation df8a5f30-b483-4919-8618-5dd66037c89c · outbound

This paper cites 11 , 12 ,13 and 14, which effectively demonstrate the superiority of our approach.

ForCenNet: Foreground-Centric Network for Document Image Rectification 11 , 12 ,13 and 14, which effectively demonstrate the superiority of our approach

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:08:14.931703Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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