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Apr 21, 2024 · Abstract:Hierarchical vision transformers (ViTs) have two advantages over conventional ViTs. First, hierarchical ViTs achieve linear ...
Hierarchical vision transformers (ViTs) have two advantages over conventional ViTs. First, hierarchical ViTs achieve linear computational complexity with ...
(arXiv 2024.04) Data-independent Module-aware Pruning for Hierarchical Vision Transformers, [Paper], [Code]; (arXiv 2024.05) Model Quantization and Hardware ...
Data-independent Module-aware Pruning for Hierarchical Vision Transformers, S ... SAViT: Structure-Aware Vision Transformer Pruning via Collaborative Optimization ...
Enhancing the scalability and efficiency of vision transformers with a novel pruning approach ... The new method, Data-independent Module-aware Pruning (DIMAP), ...
Data-independent Module-aware Pruning for Hierarchical Vision Transformers. Y He, JT Zhou. The Twelfth International Conference on Learning Representations ...
Previous works apply importance criteria determined independently by each individual component to prune ViTs. Considering that heterogeneous components in ViTs ...
Missing: Module- | Show results with:Module-
Experimental results on benchmark datasets demonstrate that the proposed Width & Depth Pruning (WDPruning) framework can significantly reduce the ...
Data-independent Module-aware Pruning for Hierarchical Vision Transformers Yang He, Joey Tianyi Zhou* In ICLR 2024. You Only Condense Once: Two Rules for ...