AgriField-40K: Adapting Vision Models to Agriculture With Efficient Continual Pretraining | Paper Citation Record

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This paper cites CoRR (2021),https://arxiv.org/abs/2109.

AgriField-40K: Adapting Vision Models to Agriculture With Efficient Continual Pretraining CoRR (2021),https://arxiv.org/abs/2109

Reference 1

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This paper cites Virtual Temporal Samples for Recurrent Neural Networks: applied to semantic segmentation in agriculture.

AgriField-40K: Adapting Vision Models to Agriculture With Efficient Continual Pretraining Virtual Temporal Samples for Recurrent Neural Networks: applied to semantic segmentation in agriculture

Reference 2

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

AgriField-40K: Adapting Vision Models to Agriculture With Efficient Continual Pretraining In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 3

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AgriField-40K: Adapting Vision Models to Agriculture With Efficient Continual Pretraining BEiT: BERT Pre-Training of Image Transformers

Reference 4

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AgriField-40K: Adapting Vision Models to Agriculture With Efficient Continual Pretraining VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning

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This paper cites In: 2017 IEEE in- ternational conference on robotics and automation (ICRA).

AgriField-40K: Adapting Vision Models to Agriculture With Efficient Continual Pretraining In: 2017 IEEE in- ternational conference on robotics and automation (ICRA)

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This paper cites In: Joint European Conference on Machine Learning and Knowledge Dis- covery in Databases.

AgriField-40K: Adapting Vision Models to Agriculture With Efficient Continual Pretraining In: Joint European Conference on Machine Learning and Knowledge Dis- covery in Databases

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This paper cites Advances in Computational Intelligence3(5), 18 (2023).

AgriField-40K: Adapting Vision Models to Agriculture With Efficient Continual Pretraining Advances in Computational Intelligence3(5), 18 (2023)

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This paper cites Springer Nature (2022).

AgriField-40K: Adapting Vision Models to Agriculture With Efficient Continual Pretraining Springer Nature (2022)

Reference 10

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This paper cites Computers and electronics in agriculture211, 107993 (2023).

AgriField-40K: Adapting Vision Models to Agriculture With Efficient Continual Pretraining Computers and electronics in agriculture211, 107993 (2023)

Reference 11

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This paper cites Advances in neural information processing systems33, 9912–9924 (2020).

AgriField-40K: Adapting Vision Models to Agriculture With Efficient Continual Pretraining Advances in neural information processing systems33, 9912–9924 (2020)

Reference 12

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AgriField-40K: Adapting Vision Models to Agriculture With Efficient Continual Pretraining In: Proceedings of the IEEE/CVF international conference on computer vision

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AgriField-40K: Adapting Vision Models to Agriculture With Efficient Continual Pretraining In: Proceedings of the IEEE/CVF International Conference on Computer Vision

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This paper cites Advances in Neural Information Processing Systems35, 16664–16678 (2022).

AgriField-40K: Adapting Vision Models to Agriculture With Efficient Continual Pretraining Advances in Neural Information Processing Systems35, 16664–16678 (2022)

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AgriField-40K: Adapting Vision Models to Agriculture With Efficient Continual Pretraining In: International conference on machine learning

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AgriField-40K: Adapting Vision Models to Agriculture With Efficient Continual Pretraining Scientific Data (2026)

Reference 18

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Reference 19

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AgriField-40K: Adapting Vision Models to Agriculture With Efficient Continual Pretraining In: Proceedings of the IEEE/CVF Winter Conference on applications of computer vision

Reference 20

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This paper cites In: 2009 IEEE conference on computer vision and pattern recognition.

AgriField-40K: Adapting Vision Models to Agriculture With Efficient Continual Pretraining In: 2009 IEEE conference on computer vision and pattern recognition

Reference 21

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This paper cites In: Proceedings of the 2019 conference of the North American chapter of the association for computational linguistics: human language technologies, volume 1 (long and short papers).

AgriField-40K: Adapting Vision Models to Agriculture With Efficient Continual Pretraining In: Proceedings of the 2019 conference of the North American chapter of the association for computational linguistics: human language technologies, volume 1 (long and short papers)

Reference 22

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This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

AgriField-40K: Adapting Vision Models to Agriculture With Efficient Continual Pretraining An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 23

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AgriField-40K: Adapting Vision Models to Agriculture With Efficient Continual Pretraining org/10.48714/DTU.HPC.0001,https://doi.org/10.48714/DTU.HPC.0001

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This paper cites arXiv preprint arXiv:2509.17816 (2025).

AgriField-40K: Adapting Vision Models to Agriculture With Efficient Continual Pretraining arXiv preprint arXiv:2509.17816 (2025)

Reference 25

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This paper cites Computers and Electronics in Agriculture239, 110900 (2025).

AgriField-40K: Adapting Vision Models to Agriculture With Efficient Continual Pretraining Computers and Electronics in Agriculture239, 110900 (2025)

Reference 26

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AgriField-40K: Adapting Vision Models to Agriculture With Efficient Continual Pretraining In: Thirty-fifth Conference on Neu- ral Information Processing Systems Datasets and Benchmarks Track (Round 2) (2021)

Reference 27

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AgriField-40K: Adapting Vision Models to Agriculture With Efficient Continual Pretraining Advances in neural information processing systems33, 21271–21284 (2020)

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AgriField-40K: Adapting Vision Models to Agriculture With Efficient Continual Pretraining IEEE Robotics and Automa- tion Letters9(2), 1588–1595 (2023)

Reference 30

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AgriField-40K: Adapting Vision Models to Agriculture With Efficient Continual Pretraining In 2021 IEEE

Reference 31

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This paper cites Computers and Electronics in Agriculture191, 106510 (2021).

AgriField-40K: Adapting Vision Models to Agriculture With Efficient Continual Pretraining Computers and Electronics in Agriculture191, 106510 (2021)

Reference 32

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AgriField-40K: Adapting Vision Models to Agriculture With Efficient Continual Pretraining Journal of Field Robotics40(6), 1639–1656 (2023)

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AgriField-40K: Adapting Vision Models to Agriculture With Efficient Continual Pretraining In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

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AgriField-40K: Adapting Vision Models to Agriculture With Efficient Continual Pretraining In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

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AgriField-40K: Adapting Vision Models to Agriculture With Efficient Continual Pretraining MILAN: Masked Image Pretraining on Language Assisted Representation

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AgriField-40K: Adapting Vision Models to Agriculture With Efficient Continual Pretraining In: International conference on machine learning

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AgriField-40K: Adapting Vision Models to Agriculture With Efficient Continual Pretraining Iclr1(2), 3 (2022)

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AgriField-40K: Adapting Vision Models to Agriculture With Efficient Continual Pretraining An open access repository of images on plant health to enable the development of mobile disease diagnostics

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AgriField-40K: Adapting Vision Models to Agriculture With Efficient Continual Pretraining In: Proceedings of the Computer Vision and Pattern Recognition Confer- ence

Reference 42

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AgriField-40K: Adapting Vision Models to Agriculture With Efficient Continual Pretraining In: European conference on computer vision

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This paper cites Data in brief52, 109935 (2024).

AgriField-40K: Adapting Vision Models to Agriculture With Efficient Continual Pretraining Data in brief52, 109935 (2024)

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AgriField-40K: Adapting Vision Models to Agriculture With Efficient Continual Pretraining Com- puters and electronics in agriculture147, 70–90 (2018)

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This paper cites arXiv preprint arXiv:2406.10973 (2024).

AgriField-40K: Adapting Vision Models to Agriculture With Efficient Continual Pretraining arXiv preprint arXiv:2406.10973 (2024)

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AgriField-40K: Adapting Vision Models to Agriculture With Efficient Continual Pretraining Journal of Field Robotics40(2), 173–192 (2023)

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AgriField-40K: Adapting Vision Models to Agriculture With Efficient Continual Pretraining Sensors23(5), 2713 (2023)

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AgriField-40K: Adapting Vision Models to Agriculture With Efficient Continual Pretraining Data in Brief42, 108035 (2022)

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AgriField-40K: Adapting Vision Models to Agriculture With Efficient Continual Pretraining In: Proceedings of the IEEE conference on computer vision and pattern recognition

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AgriField-40K: Adapting Vision Models to Agriculture With Efficient Continual Pretraining Decoupled Weight Decay Regularization

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AgriField-40K: Adapting Vision Models to Agriculture With Efficient Continual Pretraining In: Interna- tional Conference on Learning Representations

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AgriField-40K: Adapting Vision Models to Agriculture With Efficient Continual Pretraining Journal of machine learn- ing research9(Nov), 2579–2605 (2008)

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AgriField-40K: Adapting Vision Models to Agriculture With Efficient Continual Pretraining Scientific Data10(1), 302 (2023)

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AgriField-40K: Adapting Vision Models to Agriculture With Efficient Continual Pretraining In: CLEF 2025-Working Notes of the Conference and Labs of the Evaluation Forum

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This paper cites In: Proceedings of the IEEE/CVF International Conference on Computer Vision.

AgriField-40K: Adapting Vision Models to Agriculture With Efficient Continual Pretraining In: Proceedings of the IEEE/CVF International Conference on Computer Vision

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:40:22.748068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 5d5705d6-91a7-4a6b-9dc8-86e90fd597b6 · outbound

This paper cites In: 2018 IEEE international conference on robotics and automation (ICRA).

AgriField-40K: Adapting Vision Models to Agriculture With Efficient Continual Pretraining In: 2018 IEEE international conference on robotics and automation (ICRA)

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:40:22.736382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 34e604a7-d6bd-4f99-a9c8-125b0034f31b · outbound

This paper cites Frontiers in plant science7, 1419 (2016).

AgriField-40K: Adapting Vision Models to Agriculture With Efficient Continual Pretraining Frontiers in plant science7, 1419 (2016)

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:40:22.724422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation bdeef8d8-4a2a-4fbe-8491-14a5dccb6364 · outbound

This paper cites The Plant Phenome Journal5(1), e20051 (2022).

AgriField-40K: Adapting Vision Models to Agriculture With Efficient Continual Pretraining The Plant Phenome Journal5(1), e20051 (2022)

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:40:22.712212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 09c3cdcb-8a71-41d3-a318-4342dfdc7ba9 · outbound

This paper cites In: Proceedings of the Computer Vision and Pattern Recog- nition Conference.

AgriField-40K: Adapting Vision Models to Agriculture With Efficient Continual Pretraining In: Proceedings of the Computer Vision and Pattern Recog- nition Conference

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:40:22.701338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 40601005-a136-4a1c-a980-126d1c054635 · outbound

This paper cites In: Proceedings of the 31st International Conference on Computational Linguistics.

AgriField-40K: Adapting Vision Models to Agriculture With Efficient Continual Pretraining In: Proceedings of the 31st International Conference on Computational Linguistics

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:40:22.689962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 94089c4b-6d20-461a-90bf-962a8395e460 · outbound

This paper cites Data in Brief47, 109030 (2023).

AgriField-40K: Adapting Vision Models to Agriculture With Efficient Continual Pretraining Data in Brief47, 109030 (2023)

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:40:22.678340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 5ecf27d0-0170-479b-8f51-e4b65775a351 · outbound

This paper cites Scientific reports9(1), 2058 (2019).

AgriField-40K: Adapting Vision Models to Agriculture With Efficient Continual Pretraining Scientific reports9(1), 2058 (2019)

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:40:22.667188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c70fcfc0-c63c-4d03-844c-8d67b263d20b · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

AgriField-40K: Adapting Vision Models to Agriculture With Efficient Continual Pretraining DINOv2: Learning Robust Visual Features without Supervision

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-12T00:40:21.903525Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 03c62aad-0e28-4719-86fb-71bfa4d06fdb · outbound

This paper cites In: International conference on machine learning.

AgriField-40K: Adapting Vision Models to Agriculture With Efficient Continual Pretraining In: International conference on machine learning

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-12T00:40:21.907389Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2da536b9-dea3-4011-900e-1d75add5f8e4 · outbound

This paper cites an unresolved cited work.

AgriField-40K: Adapting Vision Models to Agriculture With Efficient Continual Pretraining Unresolved cited work

Reference 66

Resolution: unresolved; raw_fallback, observed 2026-08-12T00:40:22.648378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 231ac2f3-6c86-4d43-890c-f31c1464787d · outbound

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

AgriField-40K: Adapting Vision Models to Agriculture With Efficient Continual Pretraining In: Proceedings of the IEEE/CVF winter conference on applications of computer vision

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:40:22.637538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 8cba7b6e-ad23-4825-97be-ec14c4388b3e · outbound

This paper cites Advances in neural information processing systems28(2015).

AgriField-40K: Adapting Vision Models to Agriculture With Efficient Continual Pretraining Advances in neural information processing systems28(2015)

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-12T00:40:21.918112Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6e6925dc-2cb2-4808-9db9-e8e7337f1f31 · outbound

This paper cites Machine vision and applications27(4), 585–606 (2016) 20 V.

AgriField-40K: Adapting Vision Models to Agriculture With Efficient Continual Pretraining Machine vision and applications27(4), 585–606 (2016) 20 V

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:40:22.619035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 72e02aff-af92-4aef-ab36-a25d5c82b1d9 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

AgriField-40K: Adapting Vision Models to Agriculture With Efficient Continual Pretraining In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:40:22.608469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 033695e6-e9a0-4384-9b6c-5fd74b892e66 · outbound

This paper cites WeedNet: A Foundation Model-Based Global-to-Local AI Approach for Real-Time Weed Species Identification and Classification.

AgriField-40K: Adapting Vision Models to Agriculture With Efficient Continual Pretraining WeedNet: A Foundation Model-Based Global-to-Local AI Approach for Real-Time Weed Species Identification and Classification

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-12T00:40:21.928710Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f780e25-7b0f-4fd5-a381-3dcd8e2dd3b7 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

AgriField-40K: Adapting Vision Models to Agriculture With Efficient Continual Pretraining In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:40:22.597555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 927a5791-de94-405d-b6e9-571ecd198e77 · outbound

This paper cites DINOv3.

AgriField-40K: Adapting Vision Models to Agriculture With Efficient Continual Pretraining DINOv3

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-12T00:40:21.936104Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8ed89418-fbd1-4f42-8dbe-0277eddd9cb5 · outbound

This paper cites Trends in plant science 23(10), 883–898 (2018).

AgriField-40K: Adapting Vision Models to Agriculture With Efficient Continual Pretraining Trends in plant science 23(10), 883–898 (2018)

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:40:22.586668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 943db7d6-8759-417e-8618-8d4659361b16 · outbound

This paper cites an unresolved cited work.

AgriField-40K: Adapting Vision Models to Agriculture With Efficient Continual Pretraining Unresolved cited work

Reference 75

Resolution: unresolved; raw_fallback, observed 2026-08-12T00:40:22.575800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 168c8725-f621-484e-8372-42a3219e13fc · outbound

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

AgriField-40K: Adapting Vision Models to Agriculture With Efficient Continual Pretraining In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition workshops

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:40:22.564295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b638b707-92c7-4d54-87fe-94a87410f6de · outbound

This paper cites Self-Supervised Backbone Framework for Diverse Agricultural Vision Tasks.

AgriField-40K: Adapting Vision Models to Agriculture With Efficient Continual Pretraining Self-Supervised Backbone Framework for Diverse Agricultural Vision Tasks

Reference 77

Resolution: metadata mismatch; local_arxiv, observed 2026-08-12T00:40:22.097876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 8ae360f5-8cc1-4dfd-8621-de7720b4f29a · outbound

This paper cites In: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision.

AgriField-40K: Adapting Vision Models to Agriculture With Efficient Continual Pretraining In: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:40:22.551966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e5e93553-910c-46f7-b61d-43b1d59ff1d7 · outbound

This paper cites Data in brief31, 105833 (2020).

AgriField-40K: Adapting Vision Models to Agriculture With Efficient Continual Pretraining Data in brief31, 105833 (2020)

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:40:22.539139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f8903766-81ee-43f2-90f6-ebf052251cc0 · outbound

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

AgriField-40K: Adapting Vision Models to Agriculture With Efficient Continual Pretraining In: Proceedings of the IEEE international conference on computer vision

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:40:22.527545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 380ab2a7-4711-4759-979c-e17166a7a528 · outbound

This paper cites Information processing in agriculture7(1), 1– 19 (2020).

AgriField-40K: Adapting Vision Models to Agriculture With Efficient Continual Pretraining Information processing in agriculture7(1), 1– 19 (2020)

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:40:22.515734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a741c0f2-a0df-4baa-8438-29d2caad7486 · outbound

This paper cites In: Scandinavian Confer- ence on Image Analysis.

AgriField-40K: Adapting Vision Models to Agriculture With Efficient Continual Pretraining In: Scandinavian Confer- ence on Image Analysis

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:40:22.503412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d4f59730-6010-47e0-913d-92103739b1cc · outbound

This paper cites Kaggle Dataset (2020),https://www.kaggle.com/datasets/ ravirajsinh45/crop-and-weed-detection-data-with-bounding-boxes.

AgriField-40K: Adapting Vision Models to Agriculture With Efficient Continual Pretraining Kaggle Dataset (2020),https://www.kaggle.com/datasets/ ravirajsinh45/crop-and-weed-detection-data-with-bounding-boxes

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:40:22.491401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f1b6b331-316f-4aaa-b048-5121d2ef37bf · outbound

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

AgriField-40K: Adapting Vision Models to Agriculture With Efficient Continual Pretraining In: Proceedings of the IEEE conference on computer vision and pattern recognition

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-12T00:40:21.978071Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d1c5650d-a50b-499a-bb0e-95590b01bd0d · outbound

This paper cites In: 6th International Conference on Optical Character- ization of Materials, OCM.

AgriField-40K: Adapting Vision Models to Agriculture With Efficient Continual Pretraining In: 6th International Conference on Optical Character- ization of Materials, OCM

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:40:22.473479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d48bd444-1083-48ac-9bbf-7a6c559382e2 · outbound

This paper cites Agronomy14(3), 500 (2024).

AgriField-40K: Adapting Vision Models to Agriculture With Efficient Continual Pretraining Agronomy14(3), 500 (2024)

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:40:22.461725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 787cc8eb-8215-4150-861a-0369cd8a307e · outbound

This paper cites In: Chinese Conference on Pattern Recognition and Computer Vision (PRCV).

AgriField-40K: Adapting Vision Models to Agriculture With Efficient Continual Pretraining In: Chinese Conference on Pattern Recognition and Computer Vision (PRCV)

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:40:22.449220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 8c7b0907-74d8-4159-b7cb-1dde223040b3 · outbound

This paper cites IEEE transactions on pattern analysis and machine intelligence46(12), 9583–9594 (2024).

AgriField-40K: Adapting Vision Models to Agriculture With Efficient Continual Pretraining IEEE transactions on pattern analysis and machine intelligence46(12), 9583–9594 (2024)

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-12T00:40:21.993317Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5bd1fa13-e45f-4206-8e7f-4813c745313e · outbound

This paper cites SPROUT: A Scalable Diffusion Foundation Model for Agricultural Vision.

AgriField-40K: Adapting Vision Models to Agriculture With Efficient Continual Pretraining SPROUT: A Scalable Diffusion Foundation Model for Agricultural Vision

Reference 89

Resolution: metadata mismatch; local_arxiv, observed 2026-08-12T00:40:22.081694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e0c0c6a1-92ec-4ab1-b396-1cb9ba29bd26 · outbound

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

AgriField-40K: Adapting Vision Models to Agriculture With Efficient Continual Pretraining In: Proceedings of the European conference on computer vision (ECCV)

Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-12T00:40:22.000514Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f1cab1d3-5574-4275-9f49-821dd9f12f5c · outbound

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

AgriField-40K: Adapting Vision Models to Agriculture With Efficient Continual Pretraining In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 91

Resolution: unresolved; no resolver link, observed 2026-08-12T00:40:22.004643Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 70c7c2aa-e5e0-4fd6-b432-b6c6f6fcdb49 · outbound

This paper cites Plant phenomics (2022).

AgriField-40K: Adapting Vision Models to Agriculture With Efficient Continual Pretraining Plant phenomics (2022)

Reference 92

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:40:22.416402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 09690ae2-25c7-410b-a0a7-648370e0a2dc · outbound

This paper cites Sensors23(14), 6298 (2023).

AgriField-40K: Adapting Vision Models to Agriculture With Efficient Continual Pretraining Sensors23(14), 6298 (2023)

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:40:22.405465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d57028dc-543f-4b40-867e-3d11e26c0601 · outbound

This paper cites In: International conference on machine learn- ing.

AgriField-40K: Adapting Vision Models to Agriculture With Efficient Continual Pretraining In: International conference on machine learn- ing

Reference 94

Resolution: unresolved; no resolver link, observed 2026-08-12T00:40:22.015975Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9f935ffa-8cfe-4018-ad6d-71c51d5f5393 · outbound

This paper cites Remote Sensing14(6), 1400 (2022).

AgriField-40K: Adapting Vision Models to Agriculture With Efficient Continual Pretraining Remote Sensing14(6), 1400 (2022)

Reference 95

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:40:22.386789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 8b7564de-cd31-4ddb-b369-6d19f6610365 · outbound

This paper cites iBOT: Image BERT Pre-Training with Online Tokenizer.

AgriField-40K: Adapting Vision Models to Agriculture With Efficient Continual Pretraining iBOT: Image BERT Pre-Training with Online Tokenizer

Reference 96

Resolution: unresolved; no resolver link, observed 2026-08-12T00:40:22.023091Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers