26 citations · 27 across the 4 of their papers we have counts for
4 papers
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…
SegNetr: Rethinking the local-global interactions and skip connections in U-shaped networks
Junlong Cheng, Chengrui Gao, Fengjie Wang +1
Recently, U-shaped networks have dominated the field of medical image segmentation due to their simple and easily tuned structure. However, existing U-shaped segmentation networks:…
PL-Net: Progressive Learning Network for Medical Image Segmentation
Kunpeng Mao, Ruoyu Li, Junlong Cheng +3
In recent years, deep convolutional neural network-based segmentation methods have achieved state-of-the-art performance for many medical analysis tasks. However, most of these app…
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…