Alternatives and similar repositories for M3ViT:

Users that are interested in M3ViT are comparing it to the libraries listed below

• PeiyanFlying / SPViT
  ☆45Updated 7 months ago
• OpenGVLab / DiffRate
  [ICCV 23]An approach to enhance the efficiency of Vision Transformer (ViT) by concurrently employing token pruning and token merging tech…
  ☆94Updated last year
• megvii-research / TPS-CVPR2023
  ☆43Updated last year
• YifanXu74 / Evo-ViT
  Official implement of Evo-ViT: Slow-Fast Token Evolution for Dynamic Vision Transformer
  ☆71Updated 2 years ago
• MengLcool / AdaViT
  [CVPR-22] This is the official implementation of the paper "Adavit: Adaptive vision transformers for efficient image recognition".
  ☆52Updated 2 years ago
• HuangOwen / Quantization-Variation
  [TMLR] Official PyTorch implementation of paper "Quantization Variation: A New Perspective on Training Transformers with Low-Bit Precisio…
  ☆43Updated 6 months ago
• mit-han-lab / sparsevit
  [CVPR'23] SparseViT: Revisiting Activation Sparsity for Efficient High-Resolution Vision Transformer
  ☆66Updated 11 months ago
• NVlabs / A-ViT
  Official PyTorch implementation of A-ViT: Adaptive Tokens for Efficient Vision Transformer (CVPR 2022)
  ☆153Updated 2 years ago
• YanjingLi0202 / Q-ViT
  The official implementation of the NeurIPS 2022 paper Q-ViT.
  ☆87Updated last year
• youweiliang / evit
  Python code for ICLR 2022 spotlight paper EViT: Expediting Vision Transformers via Token Reorganizations
  ☆178Updated last year
• JoakimHaurum / TokenReduction
  Official PyTorch implementation of Which Tokens to Use? Investigating Token Reduction in Vision Transformers presented at ICCV 2023 NIVT …
  ☆35Updated last year
• adaptivetokensampling / ATS
  Adaptive Token Sampling for Efficient Vision Transformers (ECCV 2022 Oral Presentation)
  ☆99Updated 10 months ago
• hikvision-research / SAViT
  ☆12Updated last year
• VITA-Group / UVC
  [ICLR 2022] "Unified Vision Transformer Compression" by Shixing Yu*, Tianlong Chen*, Jiayi Shen, Huan Yuan, Jianchao Tan, Sen Yang, Ji Li…
  ☆52Updated last year
• GATECH-EIC / ShiftAddViT
  [NeurIPS 2023] ShiftAddViT: Mixture of Multiplication Primitives Towards Efficient Vision Transformer
  ☆32Updated last year
• UCSC-VLAA / DMAE
  [CVPR 2023] This repository includes the official implementation our paper "Masked Autoencoders Enable Efficient Knowledge Distillers"
  ☆104Updated last year
• VainF / Isomorphic-Pruning
  [ECCV 2024] Isomorphic Pruning for Vision Models
  ☆66Updated 8 months ago
• MingSun-Tse / Awesome-Efficient-ViT
  Recent Advances on Efficient Vision Transformers
  ☆50Updated 2 years ago
• xjwu1024 / PPT
  The codebase for paper "PPT: Token Pruning and Pooling for Efficient Vision Transformer"
  ☆22Updated 4 months ago
• GATECH-EIC / Castling-ViT
  [CVPR 2023] Castling-ViT: Compressing Self-Attention via Switching Towards Linear-Angular Attention During Vision Transformer Inference
  ☆29Updated last year
• dongzelian / SSF
  [NeurIPS'22] This is an official implementation for "Scaling & Shifting Your Features: A New Baseline for Efficient Model Tuning".
  ☆177Updated last year
• zbwxp / Dynamic-Token-Pruning
  Official Pytorch implementation of Dynamic-Token-Pruning (ICCV2023)
  ☆20Updated last year
• iamkanghyunchoi / ait
  It's All In the Teacher: Zero-Shot Quantization Brought Closer to the Teacher [CVPR 2022 Oral]
  ☆29Updated 2 years ago
• nbasyl / OFQ
  The official implementation of the ICML 2023 paper OFQ-ViT
  ☆30Updated last year
• ziplab / SPT
  [ICCV 2023 oral] This is the official repository for our paper: ''Sensitivity-Aware Visual Parameter-Efficient Fine-Tuning''.
  ☆66Updated last year
• jinga-lala / DAMEX
  Code for "DAMEX: Dataset-aware Mixture-of-Experts for visual understanding of mixture-of-datasets", accepted at Neurips 2023 (Main confer…
  ☆21Updated last year
• Phuoc-Hoan-Le / BinaryViT
  BinaryViT: Pushing Binary Vision Transformers Towards Convolutional Models
  ☆33Updated last year
• tue-mps / algm-segmenter
  ALGM applied to Segmenter
  ☆21Updated 10 months ago
• JieShibo / PETL-ViT
  [ICCV 2023 & AAAI 2023] Binary Adapters & FacT, [Tech report] Convpass
  ☆179Updated last year
• sdc17 / UPop
  [ICML 2023] UPop: Unified and Progressive Pruning for Compressing Vision-Language Transformers.
  ☆101Updated 3 months ago