https://github.com/sadman-jahan/aid-ucm-degradingweather
공식 코드Continual Domain Adaptation on Aerial Images under Gradually Degrading Weather
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Continual Domain Adaptation on Aerial Images under Gradually Degrading Weather
Improving Out-of-Distribution Data Handling and Corruption Resistance via Modern Hopfield Networks
PALM: Pushing Adaptive Learning Rate Mechanisms for Continual Test-Time Adaptation
Genuine Knowledge from Practice: Diffusion Test-Time Adaptation for Video Adverse Weather Removal
Everything to the Synthetic: Diffusion-driven Test-time Adaptation via Synthetic-Domain Alignment
Scale-aware Test-time Click Adaptation for Pulmonary Nodule and Mass Segmentation
T-TIME: Test-Time Information Maximization Ensemble for Plug-and-Play BCIs
AETTA: Label-Free Accuracy Estimation for Test-Time Adaptation
NOTE: Robust Continual Test-time Adaptation Against Temporal Correlation
BoostAdapter: Improving Vision-Language Test-Time Adaptation via Regional Bootstrapping
A Comprehensive Survey on Test-Time Adaptation under Distribution Shifts
Less is More: Pseudo-Label Filtering for Continual Test-Time Adaptation
Evaluating Continual Test-Time Adaptation for Contextual and Semantic Domain Shifts
HGL: Hierarchical Geometry Learning for Test-time Adaptation in 3D Point Cloud Segmentation
Multi-Stream Cellular Test-Time Adaptation of Real-Time Models Evolving in Dynamic Environments
Multi-Stream Cellular Test-Time Adaptation of Real-Time Models Evolving in Dynamic Environments
Enhanced Online Test-time Adaptation with Feature-Weight Cosine Alignment
Leveraging Multiple Teachers for Test-Time Adaptation of Language-Guided Classifiers
MedAdapter: Efficient Test-Time Adaptation of Large Language Models towards Medical Reasoning
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출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.