42 citations · 76 across the 3 of their papers we have counts for
3 papers
cs.CV2022★ 1 cited
Positive-Negative Equal Contrastive Loss for Semantic Segmentation
Jing Wang, Jiangyun Li, Wei Li +3
The contextual information is critical for various computer vision tasks, previous works commonly design plug-and-play modules and structural losses to effectively extract and aggr…
cs.CV2022★ 42 cited
Attention guided global enhancement and local refinement network for semantic segmentation
Jiangyun Li, Sen Zha, Chen Chen +3
The encoder-decoder architecture is widely used as a lightweight semantic segmentation network. However, it struggles with a limited performance compared to a well-designed Dilated…
eess.IV2022★ 33 cited
TransBTSV2: Towards Better and More Efficient Volumetric Segmentation of Medical Images
Jiangyun Li, Wenxuan Wang, Chen Chen +4
Transformer, benefiting from global (long-range) information modeling using self-attention mechanism, has been successful in natural language processing and computer vision recentl…