26 citations · 27 across the 4 of their papers we have counts for
3 papers · 1 filter
SAM-Med2D
Junlong Cheng, Jin Ye, Zhongying Deng +12
The Segment Anything Model (SAM) represents a state-of-the-art research advancement in natural image segmentation, achieving impressive results with input prompts such as points an…
Deep learning-based person re-identification methods: A survey and outlook of recent works
Zhangqiang Ming, Min Zhu, Xiangkun Wang +5
In recent years, with the increasing demand for public safety and the rapid development of intelligent surveillance networks, person re-identification (Re-ID) has become one of the…
Global-Local Dynamic Feature Alignment Network for Person Re-Identification
Zhangqiang Ming, Yong Yang, Xiaoyong Wei +4
The misalignment of human images caused by bounding box detection errors or partial occlusions is one of the main challenges in person Re-Identification (Re-ID) tasks. Previous loc…