GeoFANet: A Geometry–Frequency Adaptive Network for Robust Cross-Domain Point Cloud Registration
Anran Lei, Lineng Chen, Hui Li, Shuxiang Song et autres
cn (code pays fourni par la source)
Informations fournies par OpenAlex. Research Africa ne déduit ni nationalité, ni poste, ni coordonnées personnelles.
Anran Lei, Lineng Chen, Hui Li, Shuxiang Song et autres
cn (code pays fourni par la source)
Jinsheng Yang, Bineng Zhong, Qihua Liang, Yufei Tan et autres
Existing Optical Remote Sensing Image Salient Object Detection (ORSI-SOD) methods mainly rely on a semantic segmentation paradigm, which relies on pixel-wise probabilities, leading to overconfident mispredictions. In contrast, the random sampling process of the diffusion model allows multiple possible predictions to be …
cn (code pays fourni par la source)
Yanling Gan, Luhui Xu, Haiying Xia, Shuxiang Song et autres
cn (code pays fourni par la source)
Peng Tang, Peng Chen, Ting Tin Tin, Jiaqi Zhao et autres
With the development of intelligent manufacturing, higher requirements for real-time performance and accuracy have been placed on the inspection of surface quality in industrial products. As a core basic material in manufacturing, steel has various complex surface defects, such as cracks, scratches, …
cn (code pays fourni par la source)
Lingyu Wu, Haiying Xia, Shuxiang Song, Lan Yang
cn (code pays fourni par la source)
Bineng Zhong, Haiying Xia, Yufei Tan, Xiantao Hu et autres
Contextual reasoning with constraints is crucial for enhancing temporal consistency in cross-frame modeling for visual tracking. However, mainstream tracking algorithms typically associate context by merely stacking historical information without explicitly supervising the association process, making it difficult to effectively model the target's …
cn (code pays fourni par la source)
Zichen Liang, Haiying Xia, Yumei Tan, Shuxiang Song
cn (code pays fourni par la source)
Fansheng Zeng, Bineng Zhong, Haiying Xia, Yufei Tan et autres
Contextual reasoning with constraints is crucial for enhancing temporal consistency in cross-frame modeling for visual tracking. However, mainstream tracking algorithms typically associate context by merely stacking historical information without explicitly supervising the association process, making it difficult to effectively model the target's …
Shuxiang Song, Yumei Tan, Haiying Xia
cn (code pays fourni par la source)
Jie Long, Yumei Tan, Shuxiang Song, Haiying Xia
cn (code pays fourni par la source)
Haiying Xia, Jingwen Chen, Yumei Tan, Xiaohu Tang
cn (code pays fourni par la source)
Chaocan Xue, Bineng Zhong, Qihua Liang, Haiying Xia et autres
The rich motion and appearance cues between consecutive frames are crucial for robust visual tracking. However, most existing tracking methods are still limited in designing different components to separately employ corresponding cues and even ignore one of them. This makes them difficult …
cn (code pays fourni par la source)
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