Alternatives and similar repositories for evit

Users that are interested in evit are comparing it to the libraries listed below

• NVlabs / A-ViT
  Official PyTorch implementation of A-ViT: Adaptive Tokens for Efficient Vision Transformer (CVPR 2022)
  ☆159Updated 3 years ago
• adaptivetokensampling / ATS
  Adaptive Token Sampling for Efficient Vision Transformers (ECCV 2022 Oral Presentation)
  ☆101Updated last year
• raoyongming / DynamicViT
  [NeurIPS 2021] [T-PAMI] DynamicViT: Efficient Vision Transformers with Dynamic Token Sparsification
  ☆615Updated 2 years ago
• MengLcool / AdaViT
  [CVPR-22] This is the official implementation of the paper "Adavit: Adaptive vision transformers for efficient image recognition".
  ☆54Updated 2 years ago
• UCSC-VLAA / DMAE
  [CVPR 2023] This repository includes the official implementation our paper "Masked Autoencoders Enable Efficient Knowledge Distillers"
  ☆106Updated last year
• lxtGH / CAE
  This is a PyTorch implementation of “Context AutoEncoder for Self-Supervised Representation Learning"
  ☆198Updated 2 years ago
• OpenGVLab / DiffRate
  [ICCV 23]An approach to enhance the efficiency of Vision Transformer (ViT) by concurrently employing token pruning and token merging tech…
  ☆99Updated 2 years ago
• ShoufaChen / AdaptFormer
  [NeurIPS 2022] Implementation of "AdaptFormer: Adapting Vision Transformers for Scalable Visual Recognition"
  ☆363Updated 2 years ago
• changsn / STViT-R
  This is an official implementation for "Making Vision Transformers Efficient from A Token Sparsification View".
  ☆34Updated 4 months ago
• blackfeather-wang / Dynamic-Vision-Transformer
  Accelerating T2t-ViT by 1.6-3.6x.
  ☆252Updated 3 years ago
• SwinTransformer / Feature-Distillation
  ☆258Updated 2 years ago
• implus / UM-MAE
  Official Codes for "Uniform Masking: Enabling MAE Pre-training for Pyramid-based Vision Transformers with Locality"
  ☆242Updated 2 years ago
• xyupeng / ContrastiveCrop
  [CVPR 2022 Oral] Crafting Better Contrastive Views for Siamese Representation Learning
  ☆288Updated 3 years ago
• yzd-v / cls_KD
  'NKD and USKD' (ICCV 2023) and 'ViTKD' (CVPRW 2024)
  ☆234Updated last year
• YifanXu74 / Evo-ViT
  Official implement of Evo-ViT: Slow-Fast Token Evolution for Dynamic Vision Transformer
  ☆72Updated 3 years ago
• pengzhiliang / G2SD
  ☆86Updated last year
• JieShibo / PETL-ViT
  [ICCV 2023 & AAAI 2023] Binary Adapters & FacT, [Tech report] Convpass
  ☆191Updated last year
• OliverRensu / Shunted-Transformer
  ☆216Updated 3 years ago
• yuexy / PS-ViT
  Official implementation of the paper Vision Transformer with Progressive Sampling, ICCV 2021.
  ☆153Updated 3 years ago
• ziplab / SN-Net
  [CVPR 2023 Highlight] This is the official implementation of "Stitchable Neural Networks".
  ☆247Updated 2 years ago
• zengwang430521 / TCFormer
  The codes for TCFormer in paper: Not All Tokens Are Equal: Human-centric Visual Analysis via Token Clustering Transformer
  ☆242Updated 11 months ago
• zejiangh / MILAN
  PyTorch implementation of the paper "MILAN: Masked Image Pretraining on Language Assisted Representation" https://arxiv.org/pdf/2208.0604…
  ☆83Updated 2 years ago
• Sense-X / MixMIM
  MixMIM: Mixed and Masked Image Modeling for Efficient Visual Representation Learning
  ☆143Updated 2 years ago
• dongzelian / SSF
  [NeurIPS'22] This is an official implementation for "Scaling & Shifting Your Features: A New Baseline for Efficient Model Tuning".
  ☆183Updated last year
• bfshi / AbSViT
  Official code for "Top-Down Visual Attention from Analysis by Synthesis" (CVPR 2023 highlight)
  ☆167Updated last year
• ChenMnZ / CF-ViT
  (AAAI 2023 Oral) Pytorch implementation of "CF-ViT: A General Coarse-to-Fine Method for Vision Transformer"
  ☆105Updated 2 years ago
• Meituan-AutoML / CPVT
  ☆191Updated 2 years ago
• ziplab / SPViT
  [TPAMI 2024] This is the official repository for our paper: ''Pruning Self-attentions into Convolutional Layers in Single Path''.
  ☆113Updated last year
• ucasligang / awesome-MIM
  Reading list for research topics in Masked Image Modeling
  ☆334Updated 7 months ago
• JoakimHaurum / TokenReduction
  Official PyTorch implementation of Which Tokens to Use? Investigating Token Reduction in Vision Transformers presented at ICCV 2023 NIVT …
  ☆34Updated last year