naver-ai / cl-vs-mimLinks
(ICLR 2023) Official PyTorch implementation of "What Do Self-Supervised Vision Transformers Learn?"
☆111Updated last year
Alternatives and similar repositories for cl-vs-mim
Users that are interested in cl-vs-mim are comparing it to the libraries listed below
Sorting:
- [ICLR'23 Oral] Universal Few-shot Learning of Dense Prediction Tasks with Visual Token Matching☆253Updated 2 years ago
- A PyTorch implementation of Mugs proposed by our paper "Mugs: A Multi-Granular Self-Supervised Learning Framework".☆83Updated last year
- [ECCV 2022] What to Hide from Your Students: Attention-Guided Masked Image Modeling☆74Updated last year
- [CVPR 2023] This repository includes the official implementation our paper "Masked Autoencoders Enable Efficient Knowledge Distillers"☆108Updated 2 years ago
- Official implementation of AAAI 2023 paper "Parameter-efficient Model Adaptation for Vision Transformers"☆104Updated 2 years ago
- The official implementation of CMAE https://arxiv.org/abs/2207.13532 and https://ieeexplore.ieee.org/document/10330745☆109Updated last year
- Code for the paper "Hyperbolic Image-Text Representations", Desai et al, ICML 2023☆183Updated 2 years ago
- LoMaR (Efficient Self-supervised Vision Pretraining with Local Masked Reconstruction)☆65Updated 6 months ago
- [CVPR'23 & TPAMI'25] Hard Patches Mining for Masked Image Modeling & Bootstrap Masked Visual Modeling via Hard Patch Mining☆102Updated 6 months ago
- Official Implementation of the CrossMAE paper: Rethinking Patch Dependence for Masked Autoencoders☆121Updated 6 months ago
- IFSeg: Image-free Semantic Segmentation via Vision-Language Model (CVPR 2023)☆94Updated 2 years ago
- Official implementation for CVPR'23 paper "BlackVIP: Black-Box Visual Prompting for Robust Transfer Learning"☆110Updated 2 years ago
- ☆61Updated 2 years ago
- Holds code for our CVPR'23 tutorial: All Things ViTs: Understanding and Interpreting Attention in Vision.☆195Updated 2 years ago
- ☆62Updated 2 years ago
- [CVPR'23] AdaMAE: Adaptive Masking for Efficient Spatiotemporal Learning with Masked Autoencoders☆83Updated last year
- Official implementation of TCL (CVPR 2023)☆118Updated 2 years ago
- PyTorch reimplementation of FlexiViT: One Model for All Patch Sizes☆61Updated last year
- [NeurIPS'23] DropPos: Pre-Training Vision Transformers by Reconstructing Dropped Positions☆62Updated last year
- Mind the Gap: Understanding the Modality Gap in Multi-modal Contrastive Representation Learning☆161Updated 3 years ago
- Code for Finetune like you pretrain: Improved finetuning of zero-shot vision models☆103Updated 2 years ago
- [BMVC 2022] Official repository for "How to Train Vision Transformer on Small-scale Datasets?"☆163Updated last year
- PyTorch implementation of the paper "MILAN: Masked Image Pretraining on Language Assisted Representation" https://arxiv.org/pdf/2208.0604 …☆83Updated 3 years ago
- PyTorch implementation of R-MAE https//arxiv.org/abs/2306.05411☆113Updated 2 years ago
- [CVPR 2023] Learning Visual Representations via Language-Guided Sampling☆149Updated 2 years ago
- Distribution-Aware Prompt Tuning for Vision-Language Models (ICCV 2023)☆43Updated last year
- [ICLR 2023] Masked Frequency Modeling for Self-Supervised Visual Pre-Training☆78Updated 2 years ago
- [TPAMI] Searching prompt modules for parameter-efficient transfer learning.☆235Updated last year
- [ICLR 2024] Test-Time Adaptation with CLIP Reward for Zero-Shot Generalization in Vision-Language Models.☆93Updated last year
- Perceptual Grouping in Contrastive Vision-Language Models (ICCV'23)☆37Updated last year