Improving robot policies on new tasks without collecting additional expert demonstrations remains a central challenge in robot learning. World action models (WAMs) use broad video priors to jointly predict future videos and actions, offering a potential source of supervision for adapting to new tasks. However, generate...
Shi-Long Zhou, Xiong-Hao Wu, Wen-Bo Li et al.· 0 citations
Adversarial training, one of the most effective methods for enhancing neural network robustness, is typically formulated as a min-max game between an attacker and a defender. Despite its success, most adversarial training methods suffer from robust overfitting, leading to a significant gap in robustness between the tra...
Xin-Yue Zhang, Shao-Cong Wu, Qiben Shan et al.· IEEE Transactions on Image P...· 0 citations
This work proposes CLIPtrase, a novel training-free semantic segmentation strategy, which enhances local cognition through recalibrated self-correlation among patches and quadrant mask ensemble strategy, which demonstrates significant improvements in segmentation accuracy and the ability to maintain semantic coherence...
Tong Shao, Zhuo-Tao Tian, Yun-Yang Mo et al.· IEEE Transactions on Pattern...· 0 citations
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