Low-iterations meta-learning with reciprocal Gaussian sampling for few-shot nonlinear tasks
Yuncong Lei, Zhichao You, Changgen Li, Hongli Gao et autres
cn (code pays fourni par la source)
Informations fournies par OpenAlex. Research Africa ne déduit ni nationalité, ni poste, ni coordonnées personnelles.
Yuncong Lei, Zhichao You, Changgen Li, Hongli Gao et autres
cn (code pays fourni par la source)
Haofan Cao, Zhichao You, Yunkai Yang, Liang Guo et autres
Tracking links observations of the same object through visual change, yet cannot by itself determine when the object is empty or filled, intact or cut. We formulate identity-conditioned state-moment retrieval: given a tracked-object history and alternative state descriptions, localize an interval in …
Haofan Cao, Zhichao You, Yunkai Yang, Liang Guo et autres
Tracking links observations of the same object through visual change, yet cannot by itself determine when the object is empty or filled, intact or cut. We formulate identity-conditioned state-moment retrieval: given a tracked-object history and alternative state descriptions, localize an interval in …
gb, cn (code pays fourni par la source)
Zhaoyang Li, Zhichao You, Tianrui Li
Although multi-modal learning has advanced point cloud completion, the theoretical mechanisms remain unclear. Recent works attribute success to the connection between modalities, yet we identify that standard hard projection severs this connection: projecting a sparse point cloud onto the image plane yields …
Zhaoyang Li, Zhichao You, Tianrui Li
Although multi-modal learning has advanced point cloud completion, the theoretical mechanisms remain unclear. Recent works attribute success to the connection between modalities, yet we identify that standard hard projection severs this connection: projecting a sparse point cloud onto the image plane yields …
Waner Tang, Ye Yang, Zhichao You, Xiaoming Du et autres
cn (code pays fourni par la source)
Yuncong Lei, Changgen Li, Zhichao You, Ao Cao et autres
Under varying conditions, the stage evolution of tool wear exhibits disparate characteristics, with pronounced differences in wear rate and transition points across stages. This variability renders real-time, high-precision measurement and unified monitoring of tool wear exceptionally challenging. To address this issue, a …
cn (code pays fourni par la source)
Yaoting Han, Hongli Gao, Zhichao You, Pengfei Zhang
cn (code pays fourni par la source)
Yi Sun, Zhichao You, Hongli Gao, Hong‐Liang Song et autres
tw, cn (code pays fourni par la source)
Ziteng Li, Zhichao You, Dongyun Gu, Zhichao Zhang et autres
cn (code pays fourni par la source)
Hongliang Song, Yi Sun, Hongli Gao, Zhichao You et autres
cn (code pays fourni par la source)
Yanjiang Fang, Hongli Gao, Yuncong Lei, Zhichao You
Abstract Industrial robots have a wide range of applications in the field of intelligent manufacturing, but most of the field monitoring is in a single form, not intuitive, and has low transparency; Furthermore, industrial robots can achieve repeatability up to the micron …
cn (code pays fourni par la source)
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