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awesome-domain-adaptation-object-detection
A collection of papers about domain adaptation object detection. Welcome to PR the works (papers, repositories) that are missed by the repo.
https://github.com/wangs311/awesome-domain-adaptation-object-detection
Last synced: about 22 hours ago
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2023
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2022
- [CVPR - AIM-Group/NLTE)
- [CVPR - Domain Adaptive Teacher for Object Detection [[Project]](https://yujheli.github.io/projects/adaptiveteacher.html) [[PyTorch]](https://github.com/facebookresearch/adaptive_teacher)
- [CVPR - complete Graph Matching for Domain Adaptive Object Detection [[PyTorch]](https://github.com/CityU-AIM-Group/SIGMA)
- [CVPR - CNN: Holistic and Hierarchical Feature Alignment for Cross-Domain Weakly Supervised Object Detection [[PyTorch]](https://github.com/XuYunqiu/H2FA_R-CNN) [[PaddlePaddle]](https://github.com/XuYunqiu/H2FA_R-CNN/tree/ppdet)
- [CVPR - specific Inconsistency Alignment for Domain Adaptive Object Detection [[PyTorch]](https://github.com/MCG-NJU/TIA)
- [CVPR - Domain Generalized Object Detection in Urban Scene via Cyclic-Disentangled Self-Distillation [[CODE]](https://github.com/AmingWu/Single-DGOD)
- [ICLR - Domain Object Detection [[PyTorch]](https://github.com/thuml/Decoupled-Adaptation-for-Cross-Domain-Object-Detection)
- [AAAI - AIM-Group/SCAN)
- [WACV - UDA: Unsupervised Domain Adaptive Thermal Object Detection Using Meta-Learning
- [WACV - Wise Instance and Centroid Alignment Based Few-Shot Domain Adaptive Object Detection With Loose Annotations
- [WACV - UDA: Style and Content Gaps Aware Unsupervised Domain Adaptation for Object Detection
- [ARXIV - Weighted Adversarial Domain Adaptation for Object Detection
- [CVPR - Relevant Knowledge Preservation for Multi-Source Domain Adaptive Object Detection
- [CVPR - Perceived Dual Branch Distillation
- [ESWA - domain object detection using unsupervised image translation
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2021
- [NeurIPS - Training and Adversarial Learning for Domain Adaptive Object Detection [[Project]](http://im.itu.edu.pk/synergizing-domain-adaptation/)
- [AAAI
- [AAAI - Dictionary-Guided-Unsupervised-Domain-for-Li-Huang/5e412cedaa116ed4d1965dc4815ca56969be1be7) [CODE](https://github.com/strongwolf/CDG)
- [TPAMI - Invariant Domain Adaptive Object Detection via Progressive Disentanglement [[CODE]](https://github.com/AmingWu/IIOD)
- [CVPR - CDA: Memory Guided Attention for Category-Aware Unsupervised Domain Adaptive Object Detection
- [CVPR
- [CVPR - Domain Weakly Supervised Object Detection
- [ICCV - Source Domain Adaptation for Object Detection
- [ICCV
- [ICCV - based Domain Alignment for Adaptive Object Detection
- [ICCV - Decomposed Disentanglement for Domain-Invariant Object Detection
- [ICCV
- [ARXIV - Paced Learning for Cross-Domain Object Detection
- [AAAI
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2020
- [CVPR
- [CVPR - Nanjing/CR-DA-DET)
- [CVPR - domain Detection via Graph-induced Prototype Alignment [[CODE]](https://github.com/ChrisAllenMing/GPA-detection)
- [CVPR - domain Object Detection through Coarse-to-Fine Feature Adaptation
- [ECCV - adaption)
- [ECCV - way Faster-RCNN
- [ECCV
- [ECCV - based Domain Adaptive Object Detection for Hazy and Rainy Conditions
- [WACV - Scale Adversarial Cross-Domain Detection with Robust Discriminative
- [Berkeley
- [ARXIV - wise Alignment for Adaptive Object Detection
- [ARXIV
- [ARXIV
- [ARXIV
- [ARXIV - domain Object Detection
- [ARXIV
- [ARXIV
- [ARXIV - generation Enhanced Adaptation for Object Detection in Thermal images
- [ARXIV - based Domain Adaptive Object Detection for Hazy and Rainy Conditions
- [ARXIV - wise Alignment for Adaptive Object Detection
- [ICIP
- [WACV
- [ARXIV - Domain Semi-Supervised Learning
- [ARXIV - based Domain Adaptive Object Detection for Adverse Weather Conditions
- [ARXIV - Backward Cyclic Adaptation
- [ARXIV - based Domain Adaptive Object Detection for Hazy and Rainy Conditions
- [ARXIV
- [ARXIV
- [ARXIV
- [ARXIV - domain Object Detection
- [ARXIV - Label Prediction
- [ACMMM - Adaptive Object Detection via Uncertainty-Aware Distribution Alignment [CODE](https://github.com/basiclab/DA-OD-MEAA-PyTorch/)
- [ARXIV
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2019