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  • Papers
    • Access-Pattern-of-Remote-Memory
    • Token-Fusion-for-NER
      • AiluRus: A Scalable ViT Framework for Dense Prediction
      • Adaptive Local-then-Global Token Merging for Efficient Semantic Segmentation with Plain Vision Trans
      • Dynamic Token Pruning in Plain Vision Transformers for Semantic Segmentation
      • EViT: Expediting Vision Transformers via Token Reorganizations
      • Which Tokens to Use? Investigating Token Reduction in Vision Transformers
      • Joint Token Pruning and Squeezing (TPS)
      • Learned Token Pruning for Transformers
      • Paper-List
      • SegViT: Semantic Segmentation with Plain Vision Transformers
      • Token Merging: Your ViT But Faster
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  1. Papers

Token-Fusion-for-NER

AiluRus: A Scalable ViT Framework for Dense Predictionchevron-rightAdaptive Local-then-Global Token Merging for Efficient Semantic Segmentation with Plain Vision Transchevron-rightDynamic Token Pruning in Plain Vision Transformers for Semantic Segmentationchevron-rightEViT: Expediting Vision Transformers via Token Reorganizationschevron-rightWhich Tokens to Use? Investigating Token Reduction in Vision Transformerschevron-rightJoint Token Pruning and Squeezing (TPS)chevron-rightLearned Token Pruning for Transformerschevron-rightPaper-Listchevron-rightSegViT: Semantic Segmentation with Plain Vision Transformerschevron-rightToken Merging: Your ViT But Fasterchevron-right
PreviousFast RDMA-based Ordered Key-Value Store using Remote Learned Cachechevron-leftNextAiluRus: A Scalable ViT Framework for Dense Predictionchevron-right

Last updated 1 year ago