14 citations · 17 across the 6 of their papers we have counts for
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cs.CV2024★ 3 cited
MoH: Multi-Head Attention as Mixture-of-Head Attention
Peng Jin, Bo Zhu, Li Yuan +1
In this work, we upgrade the multi-head attention mechanism, the core of the Transformer model, to improve efficiency while maintaining or surpassing the previous accuracy level. W…
cs.CV2024
Regressor-Segmenter Mutual Prompt Learning for Crowd Counting
Mingyue Guo, Li Yuan, Zhaoyi Yan +3
Crowd counting has achieved significant progress by training regressors to predict instance positions. In heavily crowded scenarios, however, regressors are challenged by uncontrol…
cs.CV2023★ 14 cited
IDRNet: Intervention-Driven Relation Network for Semantic Segmentation
Zhenchao Jin, Xiaowei Hu, Lingting Zhu +3
Co-occurrent visual patterns suggest that pixel relation modeling facilitates dense prediction tasks, which inspires the development of numerous context modeling paradigms, \emph{e…