3 papers
cs.CV2025
DCFS: Continual Test-Time Adaptation via Dual Consistency of Feature and Sample
Wenting Yin, Han Sun, Xinru Meng +2
Continual test-time adaptation aims to continuously adapt a pre-trained model to a stream of target domain data without accessing source data. Without access to source domain data,…
cs.CV2025
Energy-Based Pseudo-Label Refining for Source-free Domain Adaptation
Xinru Meng, Han Sun, Jiamei Liu +2
Source-free domain adaptation (SFDA), which involves adapting models without access to source data, is both demanding and challenging. Existing SFDA techniques typically rely on ps…
cs.CV2025
SPARNet: Continual Test-Time Adaptation via Sample Partitioning Strategy and Anti-Forgetting Regularization
Xinru Meng, Han Sun, Jiamei Liu +2
Test-time Adaptation (TTA) aims to improve model performance when the model encounters domain changes after deployment. The standard TTA mainly considers the case where the target…