2 papers
cs.CV2026
MoASE++: Mixture of Activation Sparsity Experts with Domain-Adaptive On-policy Distillation for Continual Test Time Adaptation
Ronyu Zhang, Aosong Cheng, Gaole Dai +8
Continual test-time adaptation adapts a source-pretrained model to non-stationary, unlabeled target streams while retaining past competence, yet texture-biased backbones risk error…
cs.CV2025
HyperTTA: Test-Time Adaptation for Hyperspectral Image Classification under Distribution Shifts
Xia Yue, Anfeng Liu, Ning Chen +4
Hyperspectral image (HSI) classification models are highly sensitive to distribution shifts caused by real-world degradations such as noise, blur, compression, and atmospheric effe…