8 citations · 28 across the 19 of their papers we have counts for
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cs.CV2024
UPDP: A Unified Progressive Depth Pruner for CNN and Vision Transformer
Ji Liu, Dehua Tang, Yuanxian Huang +9
Traditional channel-wise pruning methods by reducing network channels struggle to effectively prune efficient CNN models with depth-wise convolutional layers and certain efficient…
cs.CV2023
HybridFusion: LiDAR and Vision Cross-Source Point Cloud Fusion
Yu Wang, Shuhui Bu, Lin Chen +4
Recently, cross-source point cloud registration from different sensors has become a significant research focus. However, traditional methods confront challenges due to the varying…
cs.CV2022★ 2 cited
Dual Vision Transformer
Ting Yao, Yehao Li, Yingwei Pan +3
Prior works have proposed several strategies to reduce the computational cost of self-attention mechanism. Many of these works consider decomposing the self-attention procedure int…