3 papers
cs.LG2025
POEM: Explore Unexplored Reliable Samples to Enhance Test-Time Adaptation
Chang'an Yi, Xiaohui Deng, Shuaicheng Niu +1
Test-time adaptation (TTA) aims to transfer knowledge from a source model to unknown test data with potential distribution shifts in an online manner. Many existing TTA methods rel…
cs.CV2025
When Small Guides Large: Cross-Model Co-Learning for Test-Time Adaptation
Chang'an Yi, Xiaohui Deng, Guohao Chen +3
Test-time Adaptation (TTA) adapts a given model to testing domain data with potential domain shifts through online unsupervised learning, yielding impressive performance. However,…
cs.CV2024
From Question to Exploration: Test-Time Adaptation in Semantic Segmentation?
Chang'an Yi, Haotian Chen, Yifan Zhang +3
Test-time adaptation (TTA) aims to adapt a model, initially trained on training data, to test data with potential distribution shifts. Most existing TTA methods focus on classifica…