Paper Citation Record · LEDGER

Augment to Segment: Tackling Pixel-Level Imbalance in Wheat Disease and Pest Segmentation

As of 10 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 1 inbound Pith citation observation for arXiv:2509.09961.

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

pith.paper-citation-record.v1
2509.09961 v1

Coverage vector

measured 51 of 51 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T18:27:01.119772Z

measured 52 of 52 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-26T10:42:28.698142Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T08:59:42.852392Z

Reference resolution

51 of 51 outbound references displayed

verified exact0
verified fuzzy0
unresolved51
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 65dfb833-0dae-4885-a89f-4c034163c58a · outbound

This paper cites Frontiers in Plant Science15, 1355941 (2024).

Augment to Segment: Tackling Pixel-Level Imbalance in Wheat Disease and Pest Segmentation Frontiers in Plant Science15, 1355941 (2024)

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-04T18:27:00.941804Z

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Observation 3905ed57-3adf-48a9-9fd4-19bb1be885ee · outbound

This paper cites Rethinking Atrous Convolution for Semantic Image Segmentation.

Augment to Segment: Tackling Pixel-Level Imbalance in Wheat Disease and Pest Segmentation Rethinking Atrous Convolution for Semantic Image Segmentation

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-04T18:27:00.945634Z

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Observation f9042ae3-1b30-4076-95a9-7a3052d8855d · outbound

This paper cites In: Proceedings of the European conference on computer vision (ECCV).

Augment to Segment: Tackling Pixel-Level Imbalance in Wheat Disease and Pest Segmentation In: Proceedings of the European conference on computer vision (ECCV)

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-04T18:27:00.949272Z

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Observation 5d4bfd7d-ecb4-44e3-8232-4fdc39fcd050 · outbound

This paper cites CVPPA @ ECCV2024 (2024).

Augment to Segment: Tackling Pixel-Level Imbalance in Wheat Disease and Pest Segmentation CVPPA @ ECCV2024 (2024)

Reference 4

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Observation 2426b7b4-a925-4521-9e3b-53429ee8aed3 · outbound

This paper cites In: European conference on computer vision.

Augment to Segment: Tackling Pixel-Level Imbalance in Wheat Disease and Pest Segmentation In: European conference on computer vision

Reference 5

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Observation 946814d3-e183-41db-b2ae-c4581b968f1d · outbound

This paper cites In: European conference on computer vision.

Augment to Segment: Tackling Pixel-Level Imbalance in Wheat Disease and Pest Segmentation In: European conference on computer vision

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-04T18:27:00.959241Z

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Unavailable: canonical work link unavailable.

Observation df6c4e4c-16cd-425b-ab94-f0453e3ace6f · outbound

This paper cites https://github.com/open-mmlab/mmsegmentation (2020).

Augment to Segment: Tackling Pixel-Level Imbalance in Wheat Disease and Pest Segmentation https://github.com/open-mmlab/mmsegmentation (2020)

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-04T18:27:00.963038Z

Source-reported events for the cited work

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Observation 9ec0c8be-f675-4022-988c-ced752be408a · outbound

This paper cites In: Wheat improve- ment: food security in a changing climate, pp.

Augment to Segment: Tackling Pixel-Level Imbalance in Wheat Disease and Pest Segmentation In: Wheat improve- ment: food security in a changing climate, pp

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-04T18:27:00.966570Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f7c78122-b7ee-4f3b-8ce6-45a9e7fe1157 · outbound

This paper cites In: Proceedings of the IEEE/CVF con- ference on computer vision and pattern recognition.

Augment to Segment: Tackling Pixel-Level Imbalance in Wheat Disease and Pest Segmentation In: Proceedings of the IEEE/CVF con- ference on computer vision and pattern recognition

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-04T18:27:00.969975Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 23fd2f57-5bad-478d-a44b-51af8bffecc1 · outbound

This paper cites In: Proceedings of the IEEE/CVF international conference on computer vision.

Augment to Segment: Tackling Pixel-Level Imbalance in Wheat Disease and Pest Segmentation In: Proceedings of the IEEE/CVF international conference on computer vision

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-04T18:27:00.973161Z

Source-reported events for the cited work

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Observation 5c4aa0bf-9b30-4187-a372-8a43506b3124 · outbound

This paper cites Computers and electronics in agriculture145, 311–318 (2018).

Augment to Segment: Tackling Pixel-Level Imbalance in Wheat Disease and Pest Segmentation Computers and electronics in agriculture145, 311–318 (2018)

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-04T18:27:00.976214Z

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Unavailable: canonical work link unavailable.

Observation 2ea64b32-165e-4e6a-b98b-f3bd525759db · outbound

This paper cites Fungal genetics and biology79, 3–7 (2015).

Augment to Segment: Tackling Pixel-Level Imbalance in Wheat Disease and Pest Segmentation Fungal genetics and biology79, 3–7 (2015)

Reference 12

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Observation e9c316d0-184f-4347-b1d5-23725bb5e3c1 · outbound

This paper cites Semi-supervised semantic segmentation needs strong, varied perturbations.

Augment to Segment: Tackling Pixel-Level Imbalance in Wheat Disease and Pest Segmentation Semi-supervised semantic segmentation needs strong, varied perturbations

Reference 13

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Observation 81c30bbf-9628-4eaf-840e-f647d4798c6c · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

Augment to Segment: Tackling Pixel-Level Imbalance in Wheat Disease and Pest Segmentation In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 14

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Observation fdb52e2f-5b1d-4a32-89a2-093febece0df · outbound

This paper cites Advances in Neural Information Processing Systems35, 1140–1156 (2022).

Augment to Segment: Tackling Pixel-Level Imbalance in Wheat Disease and Pest Segmentation Advances in Neural Information Processing Systems35, 1140–1156 (2022)

Reference 15

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Source-reported events for the cited work

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Observation 64e48d89-99b8-470f-a0af-059a89255acc · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

Augment to Segment: Tackling Pixel-Level Imbalance in Wheat Disease and Pest Segmentation In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 16

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Observation 77db2262-ea0e-40f9-a4e7-1d87d6595d0b · outbound

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Augment to Segment: Tackling Pixel-Level Imbalance in Wheat Disease and Pest Segmentation Unresolved cited work

Reference 17

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Observation 2a65f51c-ff54-43e8-b7c2-0eabcf134189 · outbound

This paper cites In: Proceedings of the IEEE/CVF international conference on computer vision.

Augment to Segment: Tackling Pixel-Level Imbalance in Wheat Disease and Pest Segmentation In: Proceedings of the IEEE/CVF international conference on computer vision

Reference 18

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Source-reported events for the cited work

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Observation d55f4909-499e-46c4-b807-c93b80f5a3af · outbound

This paper cites Advances in Neural Information Processing Systems34, 22106–22118 (2021).

Augment to Segment: Tackling Pixel-Level Imbalance in Wheat Disease and Pest Segmentation Advances in Neural Information Processing Systems34, 22106–22118 (2021)

Reference 19

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Source-reported events for the cited work

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Observation e1bcef0f-a402-4cd0-afa6-bb732959c86d · outbound

This paper cites In: Proceedings of the IEEE/CVF interna- tional conference on computer vision.

Augment to Segment: Tackling Pixel-Level Imbalance in Wheat Disease and Pest Segmentation In: Proceedings of the IEEE/CVF interna- tional conference on computer vision

Reference 20

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Source-reported events for the cited work

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Observation e1059c18-2e1a-4aef-88f2-20f175490597 · outbound

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Augment to Segment: Tackling Pixel-Level Imbalance in Wheat Disease and Pest Segmentation Unresolved cited work

Reference 21

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Observation b37895d5-a10a-4495-889d-8861001bd3e8 · outbound

This paper cites CVPPA@ECCV2024 (2024).

Augment to Segment: Tackling Pixel-Level Imbalance in Wheat Disease and Pest Segmentation CVPPA@ECCV2024 (2024)

Reference 22

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Source-reported events for the cited work

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Observation d3a5422a-88c6-4476-87ee-e965c249f79a · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

Augment to Segment: Tackling Pixel-Level Imbalance in Wheat Disease and Pest Segmentation In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 23

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Observation 12ae0e1b-f6ae-4bd0-91f5-ba7e45effbe8 · outbound

This paper cites Eco- logical Informatics75, 102068 (2023).

Augment to Segment: Tackling Pixel-Level Imbalance in Wheat Disease and Pest Segmentation Eco- logical Informatics75, 102068 (2023)

Reference 24

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Observation 9433a148-60c1-4c2b-89c4-31f43d83c01e · outbound

This paper cites Smart Agricultural Technology 9, 100526 (2024).

Augment to Segment: Tackling Pixel-Level Imbalance in Wheat Disease and Pest Segmentation Smart Agricultural Technology 9, 100526 (2024)

Reference 25

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Observation eb00e15b-cae4-45cf-95c3-ce5b5ed0e311 · outbound

This paper cites Multimedia Tools and Applications83(20), 58935– 58960 (2024).

Augment to Segment: Tackling Pixel-Level Imbalance in Wheat Disease and Pest Segmentation Multimedia Tools and Applications83(20), 58935– 58960 (2024)

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-04T18:27:01.028438Z

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Observation f535a521-3c1f-469e-97d2-a60ef3e2fdfb · outbound

This paper cites In: Proceedings of the IEEE/CVF international conference on computer vision.

Augment to Segment: Tackling Pixel-Level Imbalance in Wheat Disease and Pest Segmentation In: Proceedings of the IEEE/CVF international conference on computer vision

Reference 27

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Observation ec604aca-12c7-4de3-8d4c-a282f80ae0b7 · outbound

This paper cites Nature ecology & evolution3(3), 430–439 (2019).

Augment to Segment: Tackling Pixel-Level Imbalance in Wheat Disease and Pest Segmentation Nature ecology & evolution3(3), 430–439 (2019)

Reference 28

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Observation 93eed8ad-ed1c-4bad-b4a4-f2a3f1528878 · outbound

This paper cites Frontiers in plant science13, 1031748 (2022).

Augment to Segment: Tackling Pixel-Level Imbalance in Wheat Disease and Pest Segmentation Frontiers in plant science13, 1031748 (2022)

Reference 29

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Observation 67c92c87-1bac-47d8-a0b6-3829ba09b593 · outbound

This paper cites Journal of big data6(1), 1–48 (2019).

Augment to Segment: Tackling Pixel-Level Imbalance in Wheat Disease and Pest Segmentation Journal of big data6(1), 1–48 (2019)

Reference 30

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Observation dd562a51-9648-49db-88d3-e176f5fa8447 · outbound

This paper cites Expert Systems with Applications254, 124387 (2024).

Augment to Segment: Tackling Pixel-Level Imbalance in Wheat Disease and Pest Segmentation Expert Systems with Applications254, 124387 (2024)

Reference 31

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Observation 82c4d8ea-aecc-4924-88ff-28f06d83fa86 · outbound

This paper cites Explainable vision transformer enabled convolutional neural network for plant disease identification: PlantXViT.

Augment to Segment: Tackling Pixel-Level Imbalance in Wheat Disease and Pest Segmentation Explainable vision transformer enabled convolutional neural network for plant disease identification: PlantXViT

Reference 32

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Observation 3bad7a13-e40a-46f4-a792-444edf6cd75f · outbound

This paper cites Frontiers in Plant Science 14, 1212747 (2023) Augment to Segment 15.

Augment to Segment: Tackling Pixel-Level Imbalance in Wheat Disease and Pest Segmentation Frontiers in Plant Science 14, 1212747 (2023) Augment to Segment 15

Reference 33

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Observation f70b107e-09bc-48d5-aed7-7f1de5ec1160 · outbound

This paper cites In: 2016 23rd international conference on pattern recognition (ICPR).

Augment to Segment: Tackling Pixel-Level Imbalance in Wheat Disease and Pest Segmentation In: 2016 23rd international conference on pattern recognition (ICPR)

Reference 34

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Observation 160c0ab7-8d08-4b2b-8093-6e46f8490868 · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

Augment to Segment: Tackling Pixel-Level Imbalance in Wheat Disease and Pest Segmentation In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 35

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Observation c1c0a9a6-4291-492f-85b4-ebd2ac531dba · outbound

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Augment to Segment: Tackling Pixel-Level Imbalance in Wheat Disease and Pest Segmentation Plant Phenomics p

Reference 36

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Observation 70eb0576-6243-464b-989e-e9e0b2c29304 · outbound

This paper cites In: ACM Multimedia 2024 (2024), https://openreview.net/forum?id=nycUC9g6IO.

Augment to Segment: Tackling Pixel-Level Imbalance in Wheat Disease and Pest Segmentation In: ACM Multimedia 2024 (2024), https://openreview.net/forum?id=nycUC9g6IO

Reference 37

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Observation 7302b1f8-1787-4451-a27a-e88e63be806c · outbound

This paper cites In: Proceedings of the 6th ACM International Conference on Multimedia in Asia.

Augment to Segment: Tackling Pixel-Level Imbalance in Wheat Disease and Pest Segmentation In: Proceedings of the 6th ACM International Conference on Multimedia in Asia

Reference 38

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Observation a3cad358-03b1-4e7c-924e-e92b70d22d16 · outbound

This paper cites PlantSeg: A Large-Scale In-the-wild Dataset for Plant Disease Segmentation.

Augment to Segment: Tackling Pixel-Level Imbalance in Wheat Disease and Pest Segmentation PlantSeg: A Large-Scale In-the-wild Dataset for Plant Disease Segmentation

Reference 39

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Augment to Segment: Tackling Pixel-Level Imbalance in Wheat Disease and Pest Segmentation In: Proceedings of the 28th ACM international conference on multimedia

Reference 40

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Observation 26a8a6fd-c668-4051-8b99-2025033508be · outbound

This paper cites Advances in neural information processing systems34, 12077–12090 (2021).

Augment to Segment: Tackling Pixel-Level Imbalance in Wheat Disease and Pest Segmentation Advances in neural information processing systems34, 12077–12090 (2021)

Reference 41

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This paper cites Frontiers in plant science11, 751 (2020).

Augment to Segment: Tackling Pixel-Level Imbalance in Wheat Disease and Pest Segmentation Frontiers in plant science11, 751 (2020)

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-04T18:27:01.087248Z

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This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

Augment to Segment: Tackling Pixel-Level Imbalance in Wheat Disease and Pest Segmentation In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 43

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Observation 2b7d605e-e30b-41c8-8713-045bfc0fc6c4 · outbound

This paper cites In: International Conference on Learning Representations (2021), https://openreview.net/forum?id=BVSM0x3EDK6.

Augment to Segment: Tackling Pixel-Level Imbalance in Wheat Disease and Pest Segmentation In: International Conference on Learning Representations (2021), https://openreview.net/forum?id=BVSM0x3EDK6

Reference 44

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Observation 24c286aa-a677-4ef3-aeea-684adadea0aa · outbound

This paper cites International Journal of Computer Vision130(7), 1837–1872 (2022).

Augment to Segment: Tackling Pixel-Level Imbalance in Wheat Disease and Pest Segmentation International Journal of Computer Vision130(7), 1837–1872 (2022)

Reference 45

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Observation 081b9541-b88c-467e-bf19-0fccf2818395 · outbound

This paper cites Frontiers in Plant Science15, 1423238 (2024).

Augment to Segment: Tackling Pixel-Level Imbalance in Wheat Disease and Pest Segmentation Frontiers in Plant Science15, 1423238 (2024)

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-04T18:27:01.101931Z

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Observation 9c6d0b6e-6b3f-452c-8a9a-ef95fb28387e · outbound

This paper cites In: Proceedings of the IEEE/CVF international conference on computer vision.

Augment to Segment: Tackling Pixel-Level Imbalance in Wheat Disease and Pest Segmentation In: Proceedings of the IEEE/CVF international conference on computer vision

Reference 47

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Observation 7a18694e-3860-46fc-9023-ac3464d236fb · outbound

This paper cites Computers and Electronics in Agriculture232, 109854 (2025).

Augment to Segment: Tackling Pixel-Level Imbalance in Wheat Disease and Pest Segmentation Computers and Electronics in Agriculture232, 109854 (2025)

Reference 48

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This paper cites Computers and Electronics in Agriculture 218, 108740 (2024) 16 T.

Augment to Segment: Tackling Pixel-Level Imbalance in Wheat Disease and Pest Segmentation Computers and Electronics in Agriculture 218, 108740 (2024) 16 T

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-04T18:27:01.112518Z

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Observation fbfb564e-7ef7-4166-af41-0253f37c1c62 · outbound

This paper cites In: Proceedings of the IEEE conference on computer vision and pattern recognition.

Augment to Segment: Tackling Pixel-Level Imbalance in Wheat Disease and Pest Segmentation In: Proceedings of the IEEE conference on computer vision and pattern recognition

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-04T18:27:01.116318Z

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This paper cites Scientific Reports14(1), 1–18 (2024).

Augment to Segment: Tackling Pixel-Level Imbalance in Wheat Disease and Pest Segmentation Scientific Reports14(1), 1–18 (2024)

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-04T18:27:01.119772Z

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Pith citing papers

Observation 367eb98b-10aa-4eb9-9720-f53d3ae98156 · inbound

Benchmarking Vision-Language Models for Microscopic Plant Image Understanding cites this paper.

Benchmarking Vision-Language Models for Microscopic Plant Image Understanding Augment to Segment: Tackling Pixel-Level Imbalance in Wheat Disease and Pest Segmentation

Reference 61

Resolution: verified exact; arxiv_id, observed 2026-07-04T08:59:42.854026Z

Source-reported events for the cited work

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