ShoufaChen / AdaptFormerLinks
[NeurIPS 2022] Implementation of "AdaptFormer: Adapting Vision Transformers for Scalable Visual Recognition"
☆363Updated 2 years ago
Alternatives and similar repositories for AdaptFormer
Users that are interested in AdaptFormer are comparing it to the libraries listed below
Sorting:
- [ICCV 2023 & AAAI 2023] Binary Adapters & FacT, [Tech report] Convpass☆191Updated last year
- This is a PyTorch implementation of “Context AutoEncoder for Self-Supervised Representation Learning"☆198Updated 2 years ago
- [ICLR'23] AIM: Adapting Image Models for Efficient Video Action Recognition☆291Updated last year
- [CVPR 2023] This repository includes the official implementation our paper "Masked Autoencoders Enable Efficient Knowledge Distillers"☆106Updated last year
- Reading list for research topics in Masked Image Modeling☆334Updated 7 months ago
- Exploring Visual Prompts for Adapting Large-Scale Models☆281Updated 3 years ago
- Official code for "Top-Down Visual Attention from Analysis by Synthesis" (CVPR 2023 highlight)☆167Updated last year
- Python code for ICLR 2022 spotlight paper EViT: Expediting Vision Transformers via Token Reorganizations☆189Updated last year
- 'NKD and USKD' (ICCV 2023) and 'ViTKD' (CVPRW 2024)☆234Updated last year
- [TPAMI] Searching prompt modules for parameter-efficient transfer learning.☆233Updated last year
- Unofficial code for VPT(Visual Prompt Tuning) paper of arxiv 2203.12119☆161Updated 2 years ago
- ☆86Updated last year
- [NeurIPS'22] This is an official implementation for "Scaling & Shifting Your Features: A New Baseline for Efficient Model Tuning".☆183Updated last year
- A collection of parameter-efficient transfer learning papers focusing on computer vision and multimodal domains.☆401Updated 9 months ago
- MixMIM: Mixed and Masked Image Modeling for Efficient Visual Representation Learning☆143Updated 2 years ago
- ☆258Updated 2 years ago
- CVPR2022, BatchFormer: Learning to Explore Sample Relationships for Robust Representation Learning, https://arxiv.org/abs/2203.01522☆252Updated 2 years ago
- [CVPR 2022] DenseCLIP: Language-Guided Dense Prediction with Context-Aware Prompting☆538Updated last year
- ConvMAE: Masked Convolution Meets Masked Autoencoders☆507Updated 2 years ago
- [ECCV 2022]Code for paper "DaViT: Dual Attention Vision Transformer"☆361Updated last year
- (CVPR2023/TPAMI2024) Integrally Pre-Trained Transformer Pyramid Networks -- A Hierarchical Vision Transformer for Masked Image Modeling☆195Updated 11 months ago
- [CVPR-22] This is the official implementation of the paper "Adavit: Adaptive vision transformers for efficient image recognition".☆54Updated 2 years ago
- Official Codes for "Uniform Masking: Enabling MAE Pre-training for Pyramid-based Vision Transformers with Locality"☆242Updated 2 years ago
- Official PyTorch implementation of A-ViT: Adaptive Tokens for Efficient Vision Transformer (CVPR 2022)☆159Updated 3 years ago
- ☆539Updated 2 years ago
- ☆60Updated 2 years ago
- [CVPR 2024] Official PyTorch Code for "PromptKD: Unsupervised Prompt Distillation for Vision-Language Models"☆316Updated 2 weeks ago
- [ICCV'23 Main Track, WECIA'23 Oral] Official repository of paper titled "Self-regulating Prompts: Foundational Model Adaptation without F…☆267Updated last year
- [CVPR-2024] Official implementations of CLIP-KD: An Empirical Study of CLIP Model Distillation☆120Updated last year
- This is an official implementation for "Making Vision Transformers Efficient from A Token Sparsification View".☆34Updated 4 months ago