OpenCodePapers

source-free-object-detection-on-cityscapes-to-foggy-cityscapes

Domain AdaptationSource-Free Domain AdaptationSource Free Object Detection
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PaperCodeAP50ModelNameReleaseDate
TITAN: Query-Token based Domain Adaptive Adversarial Learning52.2TITAN2025-06-26
Context Aware Grounded Teacher for Source Free Object Detection✓ Link50.8GT2025-04-21
Simplifying Source-Free Domain Adaptation for Object Detection: Effective Self-Training Strategies and Performance Insights✓ Link45.0SF-UT2024-07-10
Enhancing Source-Free Domain Adaptive Object Detection with Low-confidence Pseudo Label Distillation40.9LPLD2024-07-18
Periodically Exchange Teacher-Student for Source-Free Object Detection✓ Link40.3PETS2023-11-23
Multi-source-free Domain Adaptation via Uncertainty-aware Adaptive Distillation✓ Link39.9DACA2024-02-09
Model Adaptation: Historical Contrastive Learning for Unsupervised Domain Adaptation without Source Data✓ Link39.7HCL2021-10-07
Exploiting Low-confidence Pseudo-labels for Source-free Object Detection38.8LPU2023-10-19
Instance Relation Graph Guided Source-Free Domain Adaptive Object Detection✓ Link37.1IRG2022-03-29
Source-Free Object Detection by Learning To Overlook Domain Style✓ Link35.8LODS2022-01-01
Adversarial Alignment for Source Free Object Detection35.4AASFOD2023-01-11
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results✓ Link34.3MT2017-03-06
A Free Lunch for Unsupervised Domain Adaptive Object Detection without Source Data33.5SFOD-Mosaic2020-12-10
A Free Lunch for Unsupervised Domain Adaptive Object Detection without Source Data30.6SFOD2020-12-10
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