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Paper Citation Record · LEDGER

OG-HFYOLO :Orientation gradient guidance and heterogeneous feature fusion for deformation table cell instance segmentation

As of 18 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 0 inbound Pith citation observations for arXiv:2504.20682.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2504.20682 v3

Coverage vector

measured 52 of 52 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:26:40.658181Z

measured 52 of 52 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

52 of 52 outbound references displayed

  • verified exact1
  • verified fuzzy37
  • unresolved13
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation dec5910b-b353-40e5-a6b0-b2b08cd55876 · outbound

This paper cites Deep learning for table detection and structure recognition: A survey.

OG-HFYOLO :Orientation gradient guidance and heterogeneous feature fusion for deformation table cell instance segmentation Deep learning for table detection and structure recognition: A survey

Reference 1

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local_arxiv, observed 2026-08-16T05:26:40.826403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation c6124a52-9b71-48ba-828a-0cd74964722f · outbound

This paper cites Image-based table recognition: Data, model, and evaluation.

OG-HFYOLO :Orientation gradient guidance and heterogeneous feature fusion for deformation table cell instance segmentation Image-based table recognition: Data, model, and evaluation

Reference 2

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verified fuzzy
raw_fallback, observed 2026-08-16T05:26:41.408633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:26:40.448950Z digest=sha256:97f7b04f44f067d2ff8122cf519f4f268faaf3b6f12e26a245b60304b1c19c04

Observation e3b21caf-3f52-4c25-aefd-889289d59e29 · outbound

This paper cites Relatext: Exploiting visual relationships for arbitrary- shaped scene text detection with graph convolutional networks.

OG-HFYOLO :Orientation gradient guidance and heterogeneous feature fusion for deformation table cell instance segmentation Relatext: Exploiting visual relationships for arbitrary- shaped scene text detection with graph convolutional networks

Reference 3

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verified fuzzy
raw_fallback, observed 2026-08-16T05:26:41.396120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 6d6a69d6-f00c-4cfd-acfe-f96d018f0a7c · outbound

This paper cites CascadeTabNet: An approach for end to end table detection and structure recognition from image-based documents.

OG-HFYOLO :Orientation gradient guidance and heterogeneous feature fusion for deformation table cell instance segmentation CascadeTabNet: An approach for end to end table detection and structure recognition from image-based documents

Reference 4

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raw_fallback, observed 2026-08-16T05:26:41.382907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:26:40.457971Z digest=sha256:2932a3acacd503dc3f0cd1368c471a314100b28f5c2b891d84cc49abe9a1dad6

Observation 6da0da9c-3f8e-4171-87d5-832759bb0256 · outbound

This paper cites LGPMA: Complicated table structure recognition with local and global pyramid mask alignment.

OG-HFYOLO :Orientation gradient guidance and heterogeneous feature fusion for deformation table cell instance segmentation LGPMA: Complicated table structure recognition with local and global pyramid mask alignment

Reference 5

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verified fuzzy
raw_fallback, observed 2026-08-16T05:26:41.369430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:26:40.462743Z digest=sha256:3cbdce109cdc21d234d1540ce794f882dc373844531d913182151d95fb571e25

Observation 9909b005-b7cb-4805-bd74-74dddf038e51 · outbound

This paper cites Mask r-cnn.

OG-HFYOLO :Orientation gradient guidance and heterogeneous feature fusion for deformation table cell instance segmentation Mask r-cnn

Reference 6

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raw_fallback, observed 2026-08-16T05:26:41.356238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:26:40.467340Z digest=sha256:0e7a023289dcdfe830360cd6527f59010cfb48c2cb76b29102c065df458de65d

Observation d6c2b408-d632-4c62-8e46-aef21665478f · outbound

This paper cites Parsing table structures in the wild.

OG-HFYOLO :Orientation gradient guidance and heterogeneous feature fusion for deformation table cell instance segmentation Parsing table structures in the wild

Reference 7

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raw_fallback, observed 2026-08-16T05:26:41.342727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:26:40.472162Z digest=sha256:3b05cc80e8f6b63021d52d4706a702414773ee64043035d39a8ea9466e49754f

Observation 7f572427-3008-43ad-9e0d-d5e9f435d907 · outbound

This paper cites Tal-ocr-table dataset.

OG-HFYOLO :Orientation gradient guidance and heterogeneous feature fusion for deformation table cell instance segmentation Tal-ocr-table dataset

Reference 8

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raw_fallback, observed 2026-08-16T05:26:41.329643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:26:40.476878Z digest=sha256:80dcc6b37dee2fd97b09ce4bf07a01be7477f726a09aebc1a10d53e975aa7913

Observation 1e97ef5a-9fc2-4024-aa61-0aeaab54e95a · outbound

This paper cites Rethinking bottleneck structure for efficient mobile network design.

OG-HFYOLO :Orientation gradient guidance and heterogeneous feature fusion for deformation table cell instance segmentation Rethinking bottleneck structure for efficient mobile network design

Reference 9

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raw_fallback, observed 2026-08-16T05:26:41.316405Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:26:40.481047Z digest=sha256:c5b8c24116b0d7ab7d050fa5d1ae6d765bce201cb2a2e97e3a5eb06f10caf69d

Observation 87c722fc-eb70-45c9-82a0-ea2ef33764ab · outbound

This paper cites Yolo-ms: Rethinking multi-scale representation learning for real-time object detection.

OG-HFYOLO :Orientation gradient guidance and heterogeneous feature fusion for deformation table cell instance segmentation Yolo-ms: Rethinking multi-scale representation learning for real-time object detection

Reference 10

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raw_fallback, observed 2026-08-16T05:26:41.302393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:26:40.485354Z digest=sha256:a9d2be7648791c9a1345da4b89561b932edb421e9ef95a31498e43c8fd216111

Observation 0d8d0eb3-2bec-4f1d-8ad2-7d1c802c5e66 · outbound

This paper cites An open approach towards the benchmarking of table structure recognition systems.

OG-HFYOLO :Orientation gradient guidance and heterogeneous feature fusion for deformation table cell instance segmentation An open approach towards the benchmarking of table structure recognition systems

Reference 11

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raw_fallback, observed 2026-08-16T05:26:41.290697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:26:40.489454Z digest=sha256:76a6bedd2394306ce5137dfc4b4f004e6e62381a198b51af5f194205a44ec3c8

Observation d9f9ad8e-8388-491c-b54a-4ce301ac5b4b · outbound

This paper cites Icdar 2013 robust reading competition.

OG-HFYOLO :Orientation gradient guidance and heterogeneous feature fusion for deformation table cell instance segmentation Icdar 2013 robust reading competition

Reference 12

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verified fuzzy
raw_fallback, observed 2026-08-16T05:26:41.278867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:26:40.493629Z digest=sha256:5100ff631cf32ecf9441f55faeccd98f87251fb4001fea47a63e15a3e5234929

Observation 266d3a64-e33a-483a-8d8f-6b1ad69f3dce · outbound

This paper cites TableBank: A Benchmark Dataset for Table Detection and Recognition.

OG-HFYOLO :Orientation gradient guidance and heterogeneous feature fusion for deformation table cell instance segmentation TableBank: A Benchmark Dataset for Table Detection and Recognition

Reference 13

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unresolved
no resolver link, observed 2026-08-16T05:26:40.497843Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:26:40.497843Z digest=sha256:3cc6ed67d271f7b6f5422d66975dac1245c4505b03c7560c1f2b8b7acd66b8dc

Observation 97f1f391-0e13-441c-a683-b09425e37597 · outbound

This paper cites GFTE: Graph-based Financial Table Extraction.

OG-HFYOLO :Orientation gradient guidance and heterogeneous feature fusion for deformation table cell instance segmentation GFTE: Graph-based Financial Table Extraction

Reference 14

Resolution
verified exact
local_arxiv, observed 2026-08-16T05:26:40.793307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:26:40.502400Z digest=sha256:5b8891ac92817ecd00195ca5cafdd43d0b366970ac395de114f8ccc871188b57

Observation 199dc344-74fc-407d-8b54-88cbcf03c5b6 · outbound

This paper cites Complicated Table Structure Recognition.

OG-HFYOLO :Orientation gradient guidance and heterogeneous feature fusion for deformation table cell instance segmentation Complicated Table Structure Recognition

Reference 15

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unresolved
no resolver link, observed 2026-08-16T05:26:40.506917Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:26:40.506917Z digest=sha256:c31dd35570c69f3f4507d95d7d5ca9c6a1adb8324a48fddba623d7bcb7cbfc0f

Observation 575c1513-bed5-40d0-a90d-008ed48c7856 · outbound

This paper cites an unresolved cited work.

OG-HFYOLO :Orientation gradient guidance and heterogeneous feature fusion for deformation table cell instance segmentation Unresolved cited work

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 7b21faeb-200d-43df-b1fe-ffb109bb31b8 · outbound

This paper cites Junction-based table detection in camera-captured document images.

OG-HFYOLO :Orientation gradient guidance and heterogeneous feature fusion for deformation table cell instance segmentation Junction-based table detection in camera-captured document images

Reference 17

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raw_fallback, observed 2026-08-16T05:26:41.253097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:26:40.515351Z digest=sha256:92baa14b413d92bb393aa1d9599239fbb49fe183ee65535e2c77d3c3e006022b

Observation d08576c8-c8f6-45c2-924b-c4365948126e · outbound

This paper cites Yolomask: Real-time instance segmenta- tion with integrating yolov5 and orienmask.

OG-HFYOLO :Orientation gradient guidance and heterogeneous feature fusion for deformation table cell instance segmentation Yolomask: Real-time instance segmenta- tion with integrating yolov5 and orienmask

Reference 18

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raw_fallback, observed 2026-08-16T05:26:41.238591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation c5300ab7-201c-46a4-bd59-318cf6dd3631 · outbound

This paper cites Pr-yolo: Improved yolo for fast protozoa classification and segmentation.

OG-HFYOLO :Orientation gradient guidance and heterogeneous feature fusion for deformation table cell instance segmentation Pr-yolo: Improved yolo for fast protozoa classification and segmentation

Reference 19

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verified fuzzy
raw_fallback, observed 2026-08-16T05:26:41.224542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:26:40.524000Z digest=sha256:6c474c724a6b48cc262c5e90830a5564b0d90509d8c136f80d7ddcdeecd6aea6

Observation 4530e927-b2a9-433e-a8cc-3686a3b3cd9c · outbound

This paper cites Jocher et al.

OG-HFYOLO :Orientation gradient guidance and heterogeneous feature fusion for deformation table cell instance segmentation Jocher et al

Reference 20

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raw_fallback, observed 2026-08-16T05:26:41.209799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:26:40.528283Z digest=sha256:46cbceb16002b1fd951cd4e42233d6e7f3f3845eaf2c0e9b9d23f17eeed559a5

Observation e0c4c581-e3de-4cae-8b52-55517baa18df · outbound

This paper cites Yolo-sf: Yolo for fire segmentation detection.

OG-HFYOLO :Orientation gradient guidance and heterogeneous feature fusion for deformation table cell instance segmentation Yolo-sf: Yolo for fire segmentation detection

Reference 21

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raw_fallback, observed 2026-08-16T05:26:41.195799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:26:40.531992Z digest=sha256:5eefe66c5842344f633ee4b432e820a6c156b03e6559169cf9be8fa3a4b9f288

Observation 9e1ebfe7-4176-497e-b60f-cee6d839c72b · outbound

This paper cites Yolov7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors.

OG-HFYOLO :Orientation gradient guidance and heterogeneous feature fusion for deformation table cell instance segmentation Yolov7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

Reference 22

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raw_fallback, observed 2026-08-16T05:26:41.181619Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:26:40.535448Z digest=sha256:55d0a25d682df637961277264b997cb3460cc60cad9a3e8c1678ca1d776fed18

Observation 0472dcc0-5817-4644-a080-44cfcbd8d34f · outbound

This paper cites Yolo-core: Contour regression for efficient instance segmentation.

OG-HFYOLO :Orientation gradient guidance and heterogeneous feature fusion for deformation table cell instance segmentation Yolo-core: Contour regression for efficient instance segmentation

Reference 23

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verified fuzzy
raw_fallback, observed 2026-08-16T05:26:41.166080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:26:40.539147Z digest=sha256:7349b6831f65e3279d85b24a3fe5a492eb096add628d3e483677db633248c8ac

Observation 2a28361f-622f-4c49-81a4-7f4dc6d31801 · outbound

This paper cites Yuseg: Yolo and unet is all you need for cell instance segmentation.

OG-HFYOLO :Orientation gradient guidance and heterogeneous feature fusion for deformation table cell instance segmentation Yuseg: Yolo and unet is all you need for cell instance segmentation

Reference 24

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raw_fallback, observed 2026-08-16T05:26:41.148330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:26:40.542740Z digest=sha256:a5578348b1ec292a995024654d19e91ce2a3bce68c2773fecae7c13e71bfc909

Observation 58eab42e-9de4-45b6-9d7c-015f49eeac08 · outbound

This paper cites YOLOv4: Optimal Speed and Accuracy of Object Detection.

OG-HFYOLO :Orientation gradient guidance and heterogeneous feature fusion for deformation table cell instance segmentation YOLOv4: Optimal Speed and Accuracy of Object Detection

Reference 25

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no resolver link, observed 2026-08-16T05:26:40.546388Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:26:40.546388Z digest=sha256:ffeea69f89ea2e0480f47bb2650fb840e6f754b6498b39374c27ffbe44bce918

Observation d2ac2466-5bdf-43f6-91ee-f5b108413011 · outbound

This paper cites TTIS-YOLO: a traffic target instance segmentation paradigm for complex road scenarios.

OG-HFYOLO :Orientation gradient guidance and heterogeneous feature fusion for deformation table cell instance segmentation TTIS-YOLO: a traffic target instance segmentation paradigm for complex road scenarios

Reference 26

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verified fuzzy
raw_fallback, observed 2026-08-16T05:26:41.132162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation bc289f5f-fd15-40d8-81a3-0af25903e856 · outbound

This paper cites Gha-inst: a real-time instance segmentation model utilizing yolo detection framework.

OG-HFYOLO :Orientation gradient guidance and heterogeneous feature fusion for deformation table cell instance segmentation Gha-inst: a real-time instance segmentation model utilizing yolo detection framework

Reference 27

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verified fuzzy
raw_fallback, observed 2026-08-16T05:26:41.117016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:26:40.553858Z digest=sha256:9ccd182dc4f2a118eabd6e9708533448519e8f4eec557b8d3a2f1f070cb6f2f0

Observation 9d8da1c9-f02e-40ec-a3f6-d7f37aba6276 · outbound

This paper cites Studio encoding parameters of digital television for standard 4:3 and wide-screen 16:9 aspect ratios.

OG-HFYOLO :Orientation gradient guidance and heterogeneous feature fusion for deformation table cell instance segmentation Studio encoding parameters of digital television for standard 4:3 and wide-screen 16:9 aspect ratios

Reference 28

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raw_fallback, observed 2026-08-16T05:26:41.103549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:26:40.557411Z digest=sha256:89e1e1a38c27f8d68969c235b925e14877062e0d55f1d2f85a7e02015a6fd352

Observation 57a31a44-580d-43c5-91ba-4bd07e719aae · outbound

This paper cites Cspnet: A new backbone that can enhance learning capability of cnn.

OG-HFYOLO :Orientation gradient guidance and heterogeneous feature fusion for deformation table cell instance segmentation Cspnet: A new backbone that can enhance learning capability of cnn

Reference 29

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raw_fallback, observed 2026-08-16T05:26:41.087426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:26:40.560968Z digest=sha256:6fa17ff0fca335df1031d3323e14d5d3af7d5bac8c626ae41b9e6596f3f67fb2

Observation d4a33c92-b787-4f04-a1c7-6b452abe989d · outbound

This paper cites Feature pyramid networks for object detection.

OG-HFYOLO :Orientation gradient guidance and heterogeneous feature fusion for deformation table cell instance segmentation Feature pyramid networks for object detection

Reference 30

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no resolver link, observed 2026-08-16T05:26:40.564891Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:26:40.564891Z digest=sha256:ff0117fbeefb4f2cf8447f6e121e96deab656796cf0c38006712678d6c6fb244

Observation 8897d8ff-ad3d-4743-91d9-8593f4b145a9 · outbound

This paper cites Girshick, and Jian Sun.

OG-HFYOLO :Orientation gradient guidance and heterogeneous feature fusion for deformation table cell instance segmentation Girshick, and Jian Sun

Reference 31

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raw_fallback, observed 2026-08-16T05:26:41.061907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:26:40.569066Z digest=sha256:a2e9bfc652e70ec5220465cbc2b66f47cd7391d6f91da2a9e6c28c762d2bba96

Observation 798ce485-c013-4aca-b0db-c9f4a70792da · outbound

This paper cites Rich feature hierarchies for accurate object detection and semantic segmentation.

OG-HFYOLO :Orientation gradient guidance and heterogeneous feature fusion for deformation table cell instance segmentation Rich feature hierarchies for accurate object detection and semantic segmentation

Reference 32

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raw_fallback, observed 2026-08-16T05:26:41.048065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:26:40.573014Z digest=sha256:8ae1ab22e0435adcf82e3a44db2a5f1be51bed86361b6d6415e6efc05b616632

Observation d10309e8-b02b-44c0-a21b-f5972603eb0a · outbound

This paper cites Dalal and B.

OG-HFYOLO :Orientation gradient guidance and heterogeneous feature fusion for deformation table cell instance segmentation Dalal and B

Reference 33

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raw_fallback, observed 2026-08-16T05:26:41.033135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:26:40.577171Z digest=sha256:03aa288517778764716e4721c1f1c259c75936837acf27ff2ef123d369356db3

Observation f14d2821-b067-41cb-b13d-742cf7fc85c8 · outbound

This paper cites an unresolved cited work.

OG-HFYOLO :Orientation gradient guidance and heterogeneous feature fusion for deformation table cell instance segmentation Unresolved cited work

Reference 34

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unresolved
raw_fallback, observed 2026-08-16T05:26:41.019521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation df1b72e7-1727-47d9-bb37-c3a1d4396ddb · outbound

This paper cites Instance Normalization: The Missing Ingredient for Fast Stylization.

OG-HFYOLO :Orientation gradient guidance and heterogeneous feature fusion for deformation table cell instance segmentation Instance Normalization: The Missing Ingredient for Fast Stylization

Reference 35

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 83bb7e8a-dba7-47d7-abeb-83bc8b3d8ef9 · outbound

This paper cites Zeiler and Rob Fergus.

OG-HFYOLO :Orientation gradient guidance and heterogeneous feature fusion for deformation table cell instance segmentation Zeiler and Rob Fergus

Reference 36

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation fb89e561-97f6-4e3e-9a56-cd61faa6e745 · outbound

This paper cites Cross-SRN: Structure-preserving super- resolution network with cross convolution.

OG-HFYOLO :Orientation gradient guidance and heterogeneous feature fusion for deformation table cell instance segmentation Cross-SRN: Structure-preserving super- resolution network with cross convolution

Reference 37

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation c81b317d-4340-43d4-a551-39846b7e41e4 · outbound

This paper cites Malunet: A multi-attention and light- weight unet for skin lesion segmentation.

OG-HFYOLO :Orientation gradient guidance and heterogeneous feature fusion for deformation table cell instance segmentation Malunet: A multi-attention and light- weight unet for skin lesion segmentation

Reference 38

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 9c51a7f8-59db-449a-a365-b7344eab295a · outbound

This paper cites En- hancing geometric factors in model learning and inference for object detection and instance segmentation.

OG-HFYOLO :Orientation gradient guidance and heterogeneous feature fusion for deformation table cell instance segmentation En- hancing geometric factors in model learning and inference for object detection and instance segmentation

Reference 39

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation f711605a-ef58-497a-a039-4cd40188c332 · outbound

This paper cites Focal and efficient iou loss for accurate bounding box regression.

OG-HFYOLO :Orientation gradient guidance and heterogeneous feature fusion for deformation table cell instance segmentation Focal and efficient iou loss for accurate bounding box regression

Reference 40

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 5fbcdc26-e12b-4807-80cf-56991a2f8fc2 · outbound

This paper cites V-net: Fully convolutional neural networks for volumetric medical image segmentation.

OG-HFYOLO :Orientation gradient guidance and heterogeneous feature fusion for deformation table cell instance segmentation V-net: Fully convolutional neural networks for volumetric medical image segmentation

Reference 41

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 0d8eb181-9475-43d8-be46-fb646e383cb7 · outbound

This paper cites an unresolved cited work.

OG-HFYOLO :Orientation gradient guidance and heterogeneous feature fusion for deformation table cell instance segmentation Unresolved cited work

Reference 42

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 15462f41-687b-4b7b-879c-c43d94972a41 · outbound

This paper cites SOLOv2: Dynamic and Fast Instance Segmentation.

OG-HFYOLO :Orientation gradient guidance and heterogeneous feature fusion for deformation table cell instance segmentation SOLOv2: Dynamic and Fast Instance Segmentation

Reference 43

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation dc033064-5167-43a5-aefa-5619bc83ab2a · outbound

This paper cites MMDetection: Open MMLab Detection Toolbox and Benchmark.

OG-HFYOLO :Orientation gradient guidance and heterogeneous feature fusion for deformation table cell instance segmentation MMDetection: Open MMLab Detection Toolbox and Benchmark

Reference 44

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation d3644d34-2145-4864-95f9-15cbef8825ef · outbound

This paper cites Torchscale: A toolkit for foundation model training.

OG-HFYOLO :Orientation gradient guidance and heterogeneous feature fusion for deformation table cell instance segmentation Torchscale: A toolkit for foundation model training

Reference 45

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation fad5efa5-f7b2-44b6-9ba5-349b28934714 · outbound

This paper cites Imagenet: A large-scale hierarchical image database.

OG-HFYOLO :Orientation gradient guidance and heterogeneous feature fusion for deformation table cell instance segmentation Imagenet: A large-scale hierarchical image database

Reference 46

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unresolved
no resolver link, observed 2026-08-16T05:26:40.633049Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 4c686924-867d-49c7-8d01-69712410431a · outbound

This paper cites Cascade r-cnn: High quality object detection and instance segmentation.

OG-HFYOLO :Orientation gradient guidance and heterogeneous feature fusion for deformation table cell instance segmentation Cascade r-cnn: High quality object detection and instance segmentation

Reference 47

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation c8158b16-26f6-4147-aec1-5230c6d38792 · outbound

This paper cites Yolact: Real-time instance segmentation.

OG-HFYOLO :Orientation gradient guidance and heterogeneous feature fusion for deformation table cell instance segmentation Yolact: Real-time instance segmentation

Reference 48

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verified fuzzy
raw_fallback, observed 2026-08-16T05:26:40.868002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation d24003f0-ef8e-4a15-b80e-85589bc172f8 · outbound

This paper cites Schwing, Alexander Kirillov, and Rohit Girdhar.

OG-HFYOLO :Orientation gradient guidance and heterogeneous feature fusion for deformation table cell instance segmentation Schwing, Alexander Kirillov, and Rohit Girdhar

Reference 49

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation b5640c2b-42d2-4ad1-b933-cc0dadc65454 · outbound

This paper cites Yolov8: A novel object detection algorithm with enhanced performance and robustness.

OG-HFYOLO :Orientation gradient guidance and heterogeneous feature fusion for deformation table cell instance segmentation Yolov8: A novel object detection algorithm with enhanced performance and robustness

Reference 50

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verified fuzzy
raw_fallback, observed 2026-08-16T05:26:40.839451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation dadfa32a-7ca9-43ac-adcd-b98ca2bf5f7b · outbound

This paper cites YOLOv11: An Overview of the Key Architectural Enhancements.

OG-HFYOLO :Orientation gradient guidance and heterogeneous feature fusion for deformation table cell instance segmentation YOLOv11: An Overview of the Key Architectural Enhancements

Reference 51

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unresolved
no resolver link, observed 2026-08-16T05:26:40.653838Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 84b89a44-d285-4f79-be36-3b9dba1b138b · outbound

This paper cites DenseBox: Unifying Landmark Localization with End to End Object Detection.

OG-HFYOLO :Orientation gradient guidance and heterogeneous feature fusion for deformation table cell instance segmentation DenseBox: Unifying Landmark Localization with End to End Object Detection

Reference 52

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unresolved
no resolver link, observed 2026-08-16T05:26:40.658181Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Pith citing papers

No inbound Pith citation observations are available.