SOTAVerified

Efficient ViTs

Increasing the efficiency of ViTs without the modification of the architecture. (i.e., Key & Query Sparsification, Token pruning & merging)

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 26–32 of 32 papers

TitleStatusHype
IA-RED^2: Interpretability-Aware Redundancy Reduction for Vision Transformers—0
Chasing Sparsity in Vision Transformers: An End-to-End ExplorationCode1
Patch Slimming for Efficient Vision Transformers—0
DynamicViT: Efficient Vision Transformers with Dynamic Token SparsificationCode1
All Tokens Matter: Token Labeling for Training Better Vision TransformersCode1
Scalable Vision Transformers with Hierarchical PoolingCode1
Training data-efficient image transformers & distillation through attentionCode1
Show:102550
← PrevPage 2 of 2Next →

No leaderboard results yet.