Title | Publication | Motivation | Method | Conclusion | Limitation | Comment |
---|---|---|---|---|---|---|
Domain Adaptive Faster R-CNN for Object Detection in the Wild [paper] | CVPR'18 | Motivation | Method | Conclusion | Limitation | Comment |
Strong-Weak Distribution Alignment for Adaptive Object Detection [paper] | CVPR'19 | Motivation | Method | Conclusion | Limitation | Comment |
Diversify and Match_A Domain Adaptive Representation Learning Paradigm for Object Detection [paper] | CVPR'19 | Motivation | Method | Conclusion | Limitation | Comment |
Exploring Object Relation in Mean Teacher for Cross-Domain Detection [paper] | CVPR'19 | Motivation | Method | Conclusion | Limitation | Comment |
Adapting Object Detectors via Selective Cross-Domain Alignment [paper] | CVPR'19 | Motivation | Method | Conclusion | Limitation | Comment |
Few-shot Adaptive Faster R-CNN [paper] | CVPR'19 | Motivation | Method | Conclusion | Limitation | Comment |
Automatic adaptation of object detectors to new domains using self-training [paper] | CVPR'19 | Motivation | Method | Conclusion | Limitation | Comment |
A Robust Learning Approach to Domain Adaptive Object Detection [paper] | ICCV'19 | Motivation | Method | Conclusion | Limitation | Comment |
Multi-adversarial Faster-RCNN for Unrestricted Object Detection [paper] | ICCV'19 | Motivation | Method | Conclusion | Limitation | Comment |
Multi-Level Domain Adaptive Learning for Cross-Domain Detection [paper] | ICCVW'19 | Motivation | Method | Conclusion | Limitation | Comment |
SCL: Towards Accurate Domain Adaptive Object Detection via Gradient Detach Based Stacked Complementary Losses [paper] | Arxiv'19 | Motivation | Method | Conclusion | Limitation | Comment |
Unbiased Mean Teacher for Cross Domain Object Detection [paper] | Arxiv'19 | Motivation | Method | Conclusion | Limitation | Comment |
iFAN: Image-Instance Full Alignment Networks for Adaptive Object Detection [paper] | AAAI'20 | Motivation | Method | Conclusion | Limitation | Comment |
Exploring Categorical Regularization for Domain Adaptive Object Detection [paper] | CVPR'20 | Motivation | Method | Conclusion | Limitation | Comment |
Cross-domain Detection via Graph-induced Prototype Alignment [paper] | Publication | CVPR'20 | Method | Conclusion | Limitation | Comment |
Harmonizing Transferability and Discriminability for Adapting Object Detectors [paper] | CVPR'20 | Motivation | Method | Conclusion | Limitation | Comment |
Multi-Scale Adversarial Cross-Domain Detection with Robust Discriminative Learning [paper] | WACV'20 | Motivation | Method | Conclusion | Limitation | Comment |
Every Pixel Matters: Center-aware Feature Alignment for Domain Adaptive Object Detector [paper] | ECCV'20 | Motivation | Method | Conclusion | Limitation | Comment |
Adaptive Object Detection with Dual Multi-Label Prediction [paper] | ECCV'20 | Motivation | Method | Conclusion | Limitation | Comment |
Collaborative Training between Region Proposal Localization and Classification for Domain Adaptive Object Detection [paper] | ECCV'20 | Motivation | Method | Conclusion | Limitation | Comment |
Domain Adaptive Object Detection via Asymmetric Tri-way Faster-RCNN [paper] | ECCV'20 | Motivation | Method | Conclusion | Limitation | Comment |
Adapting Object Detectors with Conditional Domain Normalization [paper] | ECCV'20 | Motivation | Method | Conclusion | Limitation | Comment |
Prior-based Domain Adaptive Object Detection for Hazy and Rainy Conditions [paper] | ECCV'20 | Motivation | Method | Conclusion | Limitation | Comment |