Test-time adaptation (TTA) methods, which generally rely on the model's
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Single domain generalization aims to train a generalizable model with on...
This paper presents a simple yet effective approach that improves contin...
This paper proposes a novel batch normalization strategy for test-time
a...
This paper proposes a novel test-time adaptation strategy that adjusts t...
Identifying unexpected objects on roads in semantic segmentation (e.g.,
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Enhancing the generalization capability of deep neural networks to unsee...
A number of lane detection methods depend on a proposal-free instance
se...
This paper exploits the intrinsic features of urban-scene images and pro...
Unsupervised image translation is an active area powered by the advanced...