Vision-Language-Action (VLA) policies are typically adapted using successful demonstrations, which provide direct action supervision but rarely cover failure-prone states. Deployment failures expose these states, yet lack the corrective actions needed for conventional supervised learning. We propose FailPatch, a failur...
Peng Yu, Jia-Cheng Wang, Zi-Heng Zhang et al.· 0 citations
MEgoVista is offered as a measured route from egocentric video to metric hand supervision, one that widens where such labels can be gathered, one that widens where such labels can be gathered.
Jian-Gong Xiao, Zhi-Hao Zhang, Yi-Fei Dong et al.· 0 citations
This work presents the VOR Dataset (VORD), the first benchmark dataset providing both paired edited videos and graffiti masks, and introduces VOR-MDSM, the first perception-driven VLM-based scoring model specifically designed for mask-guided VOR.
Hao-Nan Huang, Tian-Rui Qiu, Xiang-Hao Zang et al.· 0 citations
Transformers outperform traditional neural networks but face high computational and memory costs, limiting edge device deployment. Although many hardware accelerators aim to address this, the original Transformer structure still restricts the optimization effect. A recent breakthrough, mixture-of-depths (MoDs), employs...
Jia-Ning Chen, Wen-Long Ma, Yun-Chuan Li et al.· IEEE Transactions on Very La...· 0 citations
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