Through the first systematic study of TTA for dense depth regression (eight baselines), it is shown that existing TTA methods consistently fail in this setting: entropy-based methods degrade regardless of the number of adapted parameters, and temporal-photometric adaptation diverges on non-rigid tissue.
Sheng-Yao Wang, Jun-Pei Xue, Xin Zhong et al.· IEEE Transactions on Medical...· 1 citation
Mass customization demands manufacturing systems that can rapidly reconfigure production workflows for diverse product variants. Traditional robot task programming requires specialized engineers and hours of manual coding, which slows agile changeover. We present a low-code task orchestration platform that uses large l...
Yanping Deng, Jinze Yu· 2026 IEEE International Conf...· 0 citations
A cross-modal temporal alignment framework that combines a multi-scale temporal convolutional encoder with capsule-based dynamic routing, jointly optimizing temporal boundary prediction, cross-modal semantic alignment, and capsule diversity is proposed.
Gengtian Shi, Chen-Hao Wu, Shao-Fei Wang et al.· IEEE Access· 0 citations
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