Mitigating Context Bias in Domain Adaptation for Object Detection using Mask Pooling | Paper Citation Record

Observation 5f3634a9-0d79-4f37-938f-f4463c06b5e5 · outbound

This paper cites Augmented reality meets computer vision: Efficient data generation for urban driving scenes.International Journal of Computer Vision (IJCV), 2018.

Mitigating Context Bias in Domain Adaptation for Object Detection using Mask Pooling Augmented reality meets computer vision: Efficient data generation for urban driving scenes.International Journal of Computer Vision (IJCV), 2018

Reference 1

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Observation 7d0db068-1b25-410e-a8c0-ebe76864cf7d · outbound

This paper cites Contrastive mean teacher for domain adaptive object detectors.

Mitigating Context Bias in Domain Adaptation for Object Detection using Mask Pooling Contrastive mean teacher for domain adaptive object detectors

Reference 2

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Observation 872a3da6-5977-4a3e-bec6-125a686f1a18 · outbound

This paper cites Emerging properties in self-supervised vision transformers.

Mitigating Context Bias in Domain Adaptation for Object Detection using Mask Pooling Emerging properties in self-supervised vision transformers

Reference 3

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Observation 19f5f1b3-2481-45ce-8b63-8ceb3767044e · outbound

This paper cites Learning efficient object detection models with knowledge distillation.Advances in neural information processing systems, 30, 2017.

Mitigating Context Bias in Domain Adaptation for Object Detection using Mask Pooling Learning efficient object detection models with knowledge distillation.Advances in neural information processing systems, 30, 2017

Reference 4

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Observation b555d8e0-75eb-4e76-95a9-c3a3a58c906e · outbound

This paper cites Xgboost: A scalable tree boosting system.

Mitigating Context Bias in Domain Adaptation for Object Detection using Mask Pooling Xgboost: A scalable tree boosting system

Reference 5

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Observation fd373f07-ce43-4c75-9b99-a1794c166810 · outbound

This paper cites Domain adaptive faster r-cnn for object detection in the wild.

Mitigating Context Bias in Domain Adaptation for Object Detection using Mask Pooling Domain adaptive faster r-cnn for object detection in the wild

Reference 6

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Observation 8faa05a6-d847-4669-b3ee-022be71908b1 · outbound

This paper cites Scale- aware domain adaptive faster r-cnn.International Journal of Computer Vision, 129(7):2223– 2243, 2021.

Mitigating Context Bias in Domain Adaptation for Object Detection using Mask Pooling Scale- aware domain adaptive faster r-cnn.International Journal of Computer Vision, 129(7):2223– 2243, 2021

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:35:01.570822Z

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Observation e595708b-9b85-4f8b-865b-498ae47d3bed · outbound

This paper cites C-cam: Causal cam for weakly supervised semantic segmentation on medical image.

Mitigating Context Bias in Domain Adaptation for Object Detection using Mask Pooling C-cam: Causal cam for weakly supervised semantic segmentation on medical image

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:35:01.549827Z

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Observation 7a58cfd4-09b2-43cd-860c-e2a561510177 · outbound

This paper cites The cityscapes dataset for semantic urban scene understanding.

Mitigating Context Bias in Domain Adaptation for Object Detection using Mask Pooling The cityscapes dataset for semantic urban scene understanding

Reference 9

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Observation 6a72dd2d-8689-4100-aef2-415404c696be · outbound

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

Mitigating Context Bias in Domain Adaptation for Object Detection using Mask Pooling Imagenet: A large- scale hierarchical image database

Reference 10

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Observation 62a7662e-f21d-4ac9-bccd-ecefea78a4b8 · outbound

This paper cites Unbiased mean teacher for cross-domain object detection.

Mitigating Context Bias in Domain Adaptation for Object Detection using Mask Pooling Unbiased mean teacher for cross-domain object detection

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:35:01.489754Z

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Observation e989ec85-3c35-4a8a-859f-867b6d4f098a · outbound

This paper cites Improved Regularization of Convolutional Neural Networks with Cutout.

Mitigating Context Bias in Domain Adaptation for Object Detection using Mask Pooling Improved Regularization of Convolutional Neural Networks with Cutout

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T14:34:52.035494Z

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Observation 76603bb4-eb93-474a-acaa-d1d032164057 · outbound

This paper cites Virtual worlds as proxy for multi-object tracking analysis.

Mitigating Context Bias in Domain Adaptation for Object Detection using Mask Pooling Virtual worlds as proxy for multi-object tracking analysis

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:35:01.470092Z

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Observation 2e0b8774-515a-45e9-a4eb-a24eef2f2f37 · outbound

This paper cites Unsupervised domain adaptation by backpropagation.

Mitigating Context Bias in Domain Adaptation for Object Detection using Mask Pooling Unsupervised domain adaptation by backpropagation

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:35:01.452674Z

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Observation da2c48e5-9554-4419-9d74-48d781512014 · outbound

This paper cites Domain-adversarial training of neural networks.

Mitigating Context Bias in Domain Adaptation for Object Detection using Mask Pooling Domain-adversarial training of neural networks

Reference 15

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Observation d8e18199-75c8-48d9-8a16-c43fd1f63aa0 · outbound

This paper cites Lip: Local importance-based pooling.

Mitigating Context Bias in Domain Adaptation for Object Detection using Mask Pooling Lip: Local importance-based pooling

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:35:01.420815Z

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Observation d4ca49a7-2882-4a0f-8126-a712af0d57ce · outbound

This paper cites SIoU Loss: More Powerful Learning for Bounding Box Regression.

Mitigating Context Bias in Domain Adaptation for Object Detection using Mask Pooling SIoU Loss: More Powerful Learning for Bounding Box Regression

Reference 17

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Observation 4762e5f1-7e2b-4457-a6c9-7e3c80aa7057 · outbound

This paper cites Detectron.

Mitigating Context Bias in Domain Adaptation for Object Detection using Mask Pooling Detectron

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:35:01.402791Z

Source-reported events for the cited work

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Observation 5001532b-9e54-4153-8f5a-d5b003b68d45 · outbound

This paper cites Uncertainty-aware unsupervised domain adaptation in object detection.IEEE Transactions on Multimedia, 24:2502– 2514, 2021.

Mitigating Context Bias in Domain Adaptation for Object Detection using Mask Pooling Uncertainty-aware unsupervised domain adaptation in object detection.IEEE Transactions on Multimedia, 24:2502– 2514, 2021

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:35:01.384315Z

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Observation 64549819-ee9b-4f96-a333-a6c92c89ca24 · outbound

This paper cites Mask r-cnn.

Mitigating Context Bias in Domain Adaptation for Object Detection using Mask Pooling Mask r-cnn

Reference 20

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Observation 8cbf35b2-9f4f-4730-b8f6-5f9810e8c845 · outbound

This paper cites Deep residual learning for image recognition.

Mitigating Context Bias in Domain Adaptation for Object Detection using Mask Pooling Deep residual learning for image recognition

Reference 21

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Observation a3c2850a-520e-4db4-be49-08e36cc9ec39 · outbound

This paper cites Object detection using sim2real domain randomization for robotic applications.IEEE Transactions on Robotics, 39(2):1225–1243, 2022.

Mitigating Context Bias in Domain Adaptation for Object Detection using Mask Pooling Object detection using sim2real domain randomization for robotic applications.IEEE Transactions on Robotics, 39(2):1225–1243, 2022

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:35:01.342833Z

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Observation 8fa49711-d445-44cf-bab4-a21f4b4577c1 · outbound

This paper cites Mic: Masked image consistency for context-enhanced domain adaptation.

Mitigating Context Bias in Domain Adaptation for Object Detection using Mask Pooling Mic: Masked image consistency for context-enhanced domain adaptation

Reference 23

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Observation 265e3aad-a109-4a44-ad88-5cb92df40bcb · outbound

This paper cites Depth-attentional features for single-image rain removal.

Mitigating Context Bias in Domain Adaptation for Object Detection using Mask Pooling Depth-attentional features for single-image rain removal

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:35:01.306420Z

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Observation e0bcbd2f-c3ba-473d-b6b2-cec66d0e63d3 · outbound

This paper cites Causal intervention for object detection.

Mitigating Context Bias in Domain Adaptation for Object Detection using Mask Pooling Causal intervention for object detection

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:35:01.288092Z

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Observation cc022e13-7b59-4058-b624-ffb1f45ff3b5 · outbound

This paper cites Semi-supervised interpolation in an anticausal learning scenario.The Journal of Machine Learning Research, 16(1):1923–1948, 2015.

Mitigating Context Bias in Domain Adaptation for Object Detection using Mask Pooling Semi-supervised interpolation in an anticausal learning scenario.The Journal of Machine Learning Research, 16(1):1923–1948, 2015

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:35:01.264866Z

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Observation 2787df23-b91f-4f9d-a89f-576ef900d310 · outbound

This paper cites Decoupled visual causality for robust detec- tion.

Mitigating Context Bias in Domain Adaptation for Object Detection using Mask Pooling Decoupled visual causality for robust detec- tion

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:35:01.245353Z

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Observation 0e76a229-047b-4420-bb4e-8e32b26c98aa · outbound

This paper cites Overview of the accelerated platform for robotics and artificial intelligence nvidia isaac.

Mitigating Context Bias in Domain Adaptation for Object Detection using Mask Pooling Overview of the accelerated platform for robotics and artificial intelligence nvidia isaac

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:35:01.229708Z

Source-reported events for the cited work

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Observation 89391e3e-b782-410e-afd1-5bfafea40aa0 · outbound

This paper cites Algorith- mic recourse under imperfect causal knowledge: a probabilistic approach.Advances in neural information processing systems, 33:265–277, 2020.

Mitigating Context Bias in Domain Adaptation for Object Detection using Mask Pooling Algorith- mic recourse under imperfect causal knowledge: a probabilistic approach.Advances in neural information processing systems, 33:265–277, 2020

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:35:01.212587Z

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Observation a86c4932-d45e-4c08-8b24-85475f70b7aa · outbound

This paper cites Align and distill: Unifying and improving domain adaptive object detection.Transactions on Machine Learning Research, 2025.

Mitigating Context Bias in Domain Adaptation for Object Detection using Mask Pooling Align and distill: Unifying and improving domain adaptive object detection.Transactions on Machine Learning Research, 2025

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:35:01.195277Z

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Observation 64983cc0-1ce4-40f0-9ab1-85bd8be4862c · outbound

This paper cites The caltech fish counting dataset: A benchmark for multiple-object tracking and counting.

Mitigating Context Bias in Domain Adaptation for Object Detection using Mask Pooling The caltech fish counting dataset: A benchmark for multiple-object tracking and counting

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T14:34:53.684912Z

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Observation 92f99cef-bb9c-43ba-bf92-25e2920c9edc · outbound

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

Mitigating Context Bias in Domain Adaptation for Object Detection using Mask Pooling YOLOv11: An Overview of the Key Architectural Enhancements

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T14:34:53.773895Z

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Observation a9318951-8589-435a-94e2-b9da96ed1cd0 · outbound

This paper cites Avoiding discrimination through causal reasoning.Advances in neural information processing systems, 30, 2017.

Mitigating Context Bias in Domain Adaptation for Object Detection using Mask Pooling Avoiding discrimination through causal reasoning.Advances in neural information processing systems, 30, 2017

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:35:01.163009Z

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Observation 786f55c7-e627-4416-83ef-da0b1faa70bc · outbound

This paper cites Segment anything.

Mitigating Context Bias in Domain Adaptation for Object Detection using Mask Pooling Segment anything

Reference 34

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Observation 55c104f6-93cc-45a4-8db5-03069f74f391 · outbound

This paper cites Gaussian-based pooling for convolutional neural networks.Advances in Neural Information Processing Systems, 32, 2019.

Mitigating Context Bias in Domain Adaptation for Object Detection using Mask Pooling Gaussian-based pooling for convolutional neural networks.Advances in Neural Information Processing Systems, 32, 2019

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:35:01.135981Z

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Observation 63f278b8-2a9c-4b8b-81a4-fa2662bc43b3 · outbound

This paper cites Semi-supervised learning, causality, and the conditional cluster assumption.

Mitigating Context Bias in Domain Adaptation for Object Detection using Mask Pooling Semi-supervised learning, causality, and the conditional cluster assumption

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:35:01.119623Z

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Observation a3e6bec9-2a82-4c61-8d37-2dffb2be47f8 · outbound

This paper cites Counterfactual fairness.

Mitigating Context Bias in Domain Adaptation for Object Detection using Mask Pooling Counterfactual fairness

Reference 37

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Observation 4e2eb416-d1cc-46db-8b72-863034fff77d · outbound

This paper cites Disentangle and remerge: interventional knowledge distillation for few-shot object detection from a conditional causal perspective.

Mitigating Context Bias in Domain Adaptation for Object Detection using Mask Pooling Disentangle and remerge: interventional knowledge distillation for few-shot object detection from a conditional causal perspective

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:35:01.091102Z

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Observation 59b2d7da-8c80-4e07-8912-f5a9e06c5240 · outbound

This paper cites Bridging composite and real: towards end-to-end deep image matting.International Journal of Computer Vision, 130(2):246– 266, 2022.

Mitigating Context Bias in Domain Adaptation for Object Detection using Mask Pooling Bridging composite and real: towards end-to-end deep image matting.International Journal of Computer Vision, 130(2):246– 266, 2022

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:35:01.071111Z

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Observation 48415022-7b91-4afa-a2ad-e6321fcedac0 · outbound

This paper cites Sigma: Semantic-complete graph matching for domain adaptive object detection.

Mitigating Context Bias in Domain Adaptation for Object Detection using Mask Pooling Sigma: Semantic-complete graph matching for domain adaptive object detection

Reference 40

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Observation 00aff52f-1500-4d40-8cdd-a0df30243548 · outbound

This paper cites Feature pyramid networks for object detection.

Mitigating Context Bias in Domain Adaptation for Object Detection using Mask Pooling Feature pyramid networks for object detection

Reference 41

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Observation 6b8df68d-a0cf-4285-9aaa-62c8b1c17bd6 · outbound

This paper cites Focal loss for dense object detection.

Mitigating Context Bias in Domain Adaptation for Object Detection using Mask Pooling Focal loss for dense object detection

Reference 42

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Observation 82de3d34-3e41-4903-9254-1a9956f4bdd3 · outbound

This paper cites Microsoft coco: Common objects in context.

Mitigating Context Bias in Domain Adaptation for Object Detection using Mask Pooling Microsoft coco: Common objects in context

Reference 43

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Observation c2f0e4c0-a806-4f0a-934e-1200fe60c604 · outbound

This paper cites A causal debiasing framework for unsupervised salient object detection.

Mitigating Context Bias in Domain Adaptation for Object Detection using Mask Pooling A causal debiasing framework for unsupervised salient object detection

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:35:01.006965Z

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Observation 7dad1ba9-8595-4ef8-a68d-cf204b57c04c · outbound

This paper cites Graph Pooling for Graph Neural Networks: Progress, Challenges, and Opportunities.

Mitigating Context Bias in Domain Adaptation for Object Detection using Mask Pooling Graph Pooling for Graph Neural Networks: Progress, Challenges, and Opportunities

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-07T14:34:54.947250Z

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Observation d6cd0bae-0a7b-453e-a807-0359ec23b01e · outbound

This paper cites Ssd: Single shot multibox detector.

Mitigating Context Bias in Domain Adaptation for Object Detection using Mask Pooling Ssd: Single shot multibox detector

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:35:00.989690Z

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Observation f08d1222-caa9-46e4-92c8-ece7d510f455 · outbound

This paper cites A unified approach to interpreting model predictions.

Mitigating Context Bias in Domain Adaptation for Object Detection using Mask Pooling A unified approach to interpreting model predictions

Reference 47

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Observation b883ecdc-05b3-4409-a865-566395558a0f · outbound

This paper cites Unified-IoU: For High-Quality Object Detection.

Mitigating Context Bias in Domain Adaptation for Object Detection using Mask Pooling Unified-IoU: For High-Quality Object Detection

Reference 48

Resolution: verified exact; local_arxiv, observed 2026-08-07T14:35:00.180366Z

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Observation 98953d10-a8bb-41f7-8eb3-47fa0f0f179e · outbound

This paper cites Implicit self-regularization in deep neural networks: Evidence from random matrix theory and implications for learning.Journal of Machine Learning Research, 22(165):1–73, 2021.

Mitigating Context Bias in Domain Adaptation for Object Detection using Mask Pooling Implicit self-regularization in deep neural networks: Evidence from random matrix theory and implications for learning.Journal of Machine Learning Research, 22(165):1–73, 2021

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:35:00.954349Z

Source-reported events for the cited work

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Observation af5254d0-7952-405e-829a-c25fc3c65749 · outbound

This paper cites Predicting trends in the quality of state-of-the-art neural networks without access to training or testing data.Nature Communica- tions, 12(1):4122, 2021.

Mitigating Context Bias in Domain Adaptation for Object Detection using Mask Pooling Predicting trends in the quality of state-of-the-art neural networks without access to training or testing data.Nature Communica- tions, 12(1):4122, 2021

Reference 50

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Observation 1a2d2e5d-53ba-4993-9658-8a6b912800e1 · outbound

This paper cites Foreground activation maps for weakly supervised object localization.

Mitigating Context Bias in Domain Adaptation for Object Detection using Mask Pooling Foreground activation maps for weakly supervised object localization

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:35:00.920022Z

Source-reported events for the cited work

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Observation 53e65b05-3fcb-44c4-b148-2e70c3b08eda · outbound

This paper cites Watershed of a continuous function.Signal processing, 38(1):99–112, 1994.

Mitigating Context Bias in Domain Adaptation for Object Detection using Mask Pooling Watershed of a continuous function.Signal processing, 38(1):99–112, 1994

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:35:00.894627Z

Source-reported events for the cited work

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Observation a20dc763-f7f4-4c2b-a5fe-9b6d0588a8c6 · outbound

This paper cites Revisiting Self-Distillation.

Mitigating Context Bias in Domain Adaptation for Object Detection using Mask Pooling Revisiting Self-Distillation

Reference 53

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Observation 3183291e-ba39-4bc9-bafb-c11ac2cc464e · outbound

This paper cites Ablation-cam: Visual explanations for deep convolutional network via gradient-free localization.

Mitigating Context Bias in Domain Adaptation for Object Detection using Mask Pooling Ablation-cam: Visual explanations for deep convolutional network via gradient-free localization

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-07T14:34:55.791293Z

Source-reported events for the cited work

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Observation 09ae353d-189c-4772-8310-925e01666f46 · outbound

This paper cites Faster r-cnn: Towards real-time object detection with region proposal networks.IEEE transactions on pattern analysis and machine intelligence, 39(6):1137–1149, 2016.

Mitigating Context Bias in Domain Adaptation for Object Detection using Mask Pooling Faster r-cnn: Towards real-time object detection with region proposal networks.IEEE transactions on pattern analysis and machine intelligence, 39(6):1137–1149, 2016

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-07T14:34:55.858517Z

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Unavailable: canonical work link unavailable.

Observation b60f01a7-6447-4e87-8931-19d0eda09c91 · outbound

This paper cites Causal bert: Improving object detection by searching for challenging groups.

Mitigating Context Bias in Domain Adaptation for Object Detection using Mask Pooling Causal bert: Improving object detection by searching for challenging groups

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:35:00.851026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d16f70a3-7163-49b1-a468-38e5509df058 · outbound

This paper cites Hierarchical confusion matrix for classification performance evaluation.Journal of the Royal Statistical Society Series C: Applied Statistics, 72(5):1394–1412, 2023.

Mitigating Context Bias in Domain Adaptation for Object Detection using Mask Pooling Hierarchical confusion matrix for classification performance evaluation.Journal of the Royal Statistical Society Series C: Applied Statistics, 72(5):1394–1412, 2023

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:35:00.833253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f465e3b4-d128-436b-b893-9b0eac6e0fce · outbound

This paper cites Semantic foggy scene understanding with synthetic data.International Journal of Computer Vision, 126(9):973–992, Sep 2018.

Mitigating Context Bias in Domain Adaptation for Object Detection using Mask Pooling Semantic foggy scene understanding with synthetic data.International Journal of Computer Vision, 126(9):973–992, Sep 2018

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:35:00.812421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 565fd01f-922d-4794-88c7-ac7bf09b8b24 · outbound

This paper cites Toward causal representation learning.Proceedings of the IEEE, 109(5):612–634, 2021.

Mitigating Context Bias in Domain Adaptation for Object Detection using Mask Pooling Toward causal representation learning.Proceedings of the IEEE, 109(5):612–634, 2021

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-07T14:34:56.263608Z

Source-reported events for the cited work

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Observation 5fbb2a51-0792-4014-99e4-a8f46324019a · outbound

This paper cites Image compositing is all you need for data augmentation.

Mitigating Context Bias in Domain Adaptation for Object Detection using Mask Pooling Image compositing is all you need for data augmentation

Reference 60

Resolution: verified exact; local_arxiv, observed 2026-08-07T14:34:59.864666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 73bf4d41-059e-41c3-a041-401936fded45 · outbound

This paper cites Don’t judge an object by its context: learning to overcome contextual bias.

Mitigating Context Bias in Domain Adaptation for Object Detection using Mask Pooling Don’t judge an object by its context: learning to overcome contextual bias

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:35:00.780558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 86290008-eb2e-4c18-8e3e-e3b1042ea85a · outbound

This paper cites Quantifying Context Bias in Domain Adaptation for Object Detection.

Mitigating Context Bias in Domain Adaptation for Object Detection using Mask Pooling Quantifying Context Bias in Domain Adaptation for Object Detection

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-07T14:34:56.487307Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe58fc91-9bb1-4747-a3dd-02b573e7e070 · outbound

This paper cites Adapool: Exponential adaptive pooling for information- retaining downsampling.IEEE Transactions on Image Processing, 32:251–266, 2022.

Mitigating Context Bias in Domain Adaptation for Object Detection using Mask Pooling Adapool: Exponential adaptive pooling for information- retaining downsampling.IEEE Transactions on Image Processing, 32:251–266, 2022

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-07T14:34:56.581636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e5e7f5fb-0454-4099-b94a-bf832dea171c · outbound

This paper cites Refining activation downsam- pling with softpool.

Mitigating Context Bias in Domain Adaptation for Object Detection using Mask Pooling Refining activation downsam- pling with softpool

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:35:00.751496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ba6977b4-e61b-49a5-8a25-e1fbf2209afe · outbound

This paper cites Efficientnet: Rethinking model scaling for convolutional neural networks.

Mitigating Context Bias in Domain Adaptation for Object Detection using Mask Pooling Efficientnet: Rethinking model scaling for convolutional neural networks

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-07T14:34:56.752978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 27d304cb-d2b6-45c7-a5d6-40d765de8f51 · outbound

This paper cites Improving Object Detection via Local-global Contrastive Learning.

Mitigating Context Bias in Domain Adaptation for Object Detection using Mask Pooling Improving Object Detection via Local-global Contrastive Learning

Reference 66

Resolution: verified exact; local_arxiv, observed 2026-08-07T14:34:59.569448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9c2d0a73-0303-4d90-bda6-f011b924833d · outbound

This paper cites A realism metric for generated lidar point clouds.International Journal of Computer Vision, 130(12):2962–2979, 2022.

Mitigating Context Bias in Domain Adaptation for Object Detection using Mask Pooling A realism metric for generated lidar point clouds.International Journal of Computer Vision, 130(12):2962–2979, 2022

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:35:00.714517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ee2f9d0a-a8ad-45c3-bcd9-008767489da2 · outbound

This paper cites On the fairness of causal algorithmic recourse.

Mitigating Context Bias in Domain Adaptation for Object Detection using Mask Pooling On the fairness of causal algorithmic recourse

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:35:00.696983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2a663ab2-d1d1-471c-972a-879cba8ef05f · outbound

This paper cites A method for constructing a loss function for multi-scale object detection networks.Sensors, 25(6):1738, 2025.

Mitigating Context Bias in Domain Adaptation for Object Detection using Mask Pooling A method for constructing a loss function for multi-scale object detection networks.Sensors, 25(6):1738, 2025

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:35:00.680399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 65f93bd4-fd0e-469e-b716-1a7b722923d9 · outbound

This paper cites Causal attention for unbiased visual recognition.

Mitigating Context Bias in Domain Adaptation for Object Detection using Mask Pooling Causal attention for unbiased visual recognition

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:35:00.657397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 36ca3ef3-0de0-429f-9899-6e2fbaf6fbb0 · outbound

This paper cites A general deep learning model for bird detection in high-resolution airborne imagery.Ecological Applications, 32(8):e2694, 2022.

Mitigating Context Bias in Domain Adaptation for Object Detection using Mask Pooling A general deep learning model for bird detection in high-resolution airborne imagery.Ecological Applications, 32(8):e2694, 2022

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:35:00.639551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2eb06f33-645d-428e-bf14-4bb35f0117d3 · outbound

This paper cites an unresolved cited work.

Mitigating Context Bias in Domain Adaptation for Object Detection using Mask Pooling Unresolved cited work

Reference 72

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:35:00.621816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9bbcb57c-9045-469a-ba93-9f11fe9372df · outbound

This paper cites Background activation suppression for weakly supervised object localization.

Mitigating Context Bias in Domain Adaptation for Object Detection using Mask Pooling Background activation suppression for weakly supervised object localization

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:35:00.604654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation eadf9498-973b-408c-8bfc-8b35a1d12e58 · outbound

This paper cites Discover and cure: Concept- aware mitigation of spurious correlation.

Mitigating Context Bias in Domain Adaptation for Object Detection using Mask Pooling Discover and cure: Concept- aware mitigation of spurious correlation

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:35:00.576551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation cdfeb0e7-8eda-49e3-a6f3-c9914998fd18 · outbound

This paper cites Multi-view adversarial discriminator: Mine the non-causal factors for object detection in unseen domains.

Mitigating Context Bias in Domain Adaptation for Object Detection using Mask Pooling Multi-view adversarial discriminator: Mine the non-causal factors for object detection in unseen domains

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:35:00.554388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 27ada113-574e-4344-ab39-94eb214574be · outbound

This paper cites Multi-view adversarial discriminator: Mine the non-causal factors for object detection in unseen domains.

Mitigating Context Bias in Domain Adaptation for Object Detection using Mask Pooling Multi-view adversarial discriminator: Mine the non-causal factors for object detection in unseen domains

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:35:00.530250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 636a8d5c-5beb-4c11-87d3-330d499e32b4 · outbound

This paper cites LiftPool: Lifting-based Graph Pooling for Hierarchical Graph Representation Learning.

Mitigating Context Bias in Domain Adaptation for Object Detection using Mask Pooling LiftPool: Lifting-based Graph Pooling for Hierarchical Graph Representation Learning

Reference 77

Resolution: verified exact; local_arxiv, observed 2026-08-07T14:34:59.291533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 39b6354d-7564-4d87-8d12-95c12881308d · outbound

This paper cites Cross dataset analysis of domain shift in cxr lung region detection.Diagnostics, 13(6):1068, 2023.

Mitigating Context Bias in Domain Adaptation for Object Detection using Mask Pooling Cross dataset analysis of domain shift in cxr lung region detection.Diagnostics, 13(6):1068, 2023

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:35:00.510688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation dd688bb6-76bc-4363-93c4-f28da1977ac2 · outbound

This paper cites Stochastic Pooling for Regularization of Deep Convolutional Neural Networks.

Mitigating Context Bias in Domain Adaptation for Object Detection using Mask Pooling Stochastic Pooling for Regularization of Deep Convolutional Neural Networks

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-07T14:34:58.082914Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 11da2f03-7419-4543-97b9-f3bc8134e675 · outbound

This paper cites S3pool: Pooling with stochastic spatial sampling.

Mitigating Context Bias in Domain Adaptation for Object Detection using Mask Pooling S3pool: Pooling with stochastic spatial sampling

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:35:00.487441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b7a4bb03-f820-4c21-8658-cf2185f12d18 · outbound

This paper cites Background activation suppression for weakly supervised object localization and semantic segmentation.International Journal of Computer Vision, 132(3):750–775, 2024.

Mitigating Context Bias in Domain Adaptation for Object Detection using Mask Pooling Background activation suppression for weakly supervised object localization and semantic segmentation.International Journal of Computer Vision, 132(3):750–775, 2024

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:35:00.455369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ef806805-86c9-42ce-8d3f-72d079415957 · outbound

This paper cites Fairness in decision-making—the causal explanation formula.

Mitigating Context Bias in Domain Adaptation for Object Detection using Mask Pooling Fairness in decision-making—the causal explanation formula

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:35:00.436147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation dfa43e88-7116-42dc-8b1e-13ab8d20b27d · outbound

This paper cites Causal reasoning in typical computer vision tasks.Science China Technological Sciences, 67(1):105–120, 2024.

Mitigating Context Bias in Domain Adaptation for Object Detection using Mask Pooling Causal reasoning in typical computer vision tasks.Science China Technological Sciences, 67(1):105–120, 2024

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:35:00.416340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4ebd4646-646f-4d8a-b2aa-c5f688725d6a · outbound

This paper cites Adapting object detectors via selective cross-domain alignment.

Mitigating Context Bias in Domain Adaptation for Object Detection using Mask Pooling Adapting object detectors via selective cross-domain alignment

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:35:00.395017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 311f69b7-a8a4-4a80-b9bd-bb00a35e4345 · outbound

This paper cites Learning data augmentation strategies for object detection.

Mitigating Context Bias in Domain Adaptation for Object Detection using Mask Pooling Learning data augmentation strategies for object detection

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:35:00.374395Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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