tsb0601 / EMP-SSLLinks
This repository contains the implementation for the paper "EMP-SSL: Towards Self-Supervised Learning in One Training Epoch."
☆229Updated 2 years ago
Alternatives and similar repositories for EMP-SSL
Users that are interested in EMP-SSL are comparing it to the libraries listed below
Sorting:
- This is a PyTorch implementation of “Context AutoEncoder for Self-Supervised Representation Learning"☆198Updated 2 years ago
- Low rank adaptation for Vision Transformer☆421Updated last year
- Official Open Source code for "Scaling Language-Image Pre-training via Masking"☆426Updated 2 years ago
- Holds code for our CVPR'23 tutorial: All Things ViTs: Understanding and Interpreting Attention in Vision.☆195Updated 2 years ago
- This is a PyTorch implementation of “Context AutoEncoder for Self-Supervised Representation Learning"☆116Updated last year
- ConvMAE: Masked Convolution Meets Masked Autoencoders☆508Updated 2 years ago
- Effective Data Augmentation With Diffusion Models☆255Updated last year
- [CVPR 2023] This repository includes the official implementation our paper "Masked Autoencoders Enable Efficient Knowledge Distillers"☆107Updated 2 years ago
- This is the official GitHub for paper: On the Versatile Uses of Partial Distance Correlation in Deep Learning, in ECCV 2022☆175Updated 2 years ago
- Reproducible scaling laws for contrastive language-image learning (https://arxiv.org/abs/2212.07143)☆172Updated 2 months ago
- ☆261Updated 2 years ago
- CLIP Itself is a Strong Fine-tuner: Achieving 85.7% and 88.0% Top-1 Accuracy with ViT-B and ViT-L on ImageNet☆219Updated 2 years ago
- Official implementation of AAAI 2023 paper "Parameter-efficient Model Adaptation for Vision Transformers"☆105Updated 2 years ago
- [T-PAMI] A curated list of self-supervised multimodal learning resources.☆263Updated last year
- PyTorch reimplementation of FlexiViT: One Model for All Patch Sizes☆62Updated last year
- [CVPR'23 & TPAMI'25] Hard Patches Mining for Masked Image Modeling & Bootstrap Masked Visual Modeling via Hard Patch Mining☆101Updated 4 months ago
- [NeurIPS'23] DropPos: Pre-Training Vision Transformers by Reconstructing Dropped Positions☆61Updated last year
- [Survey] Masked Modeling for Self-supervised Representation Learning on Vision and Beyond (https://arxiv.org/abs/2401.00897)☆343Updated 4 months ago
- ☆206Updated last year
- 1.5−3.0× lossless training or pre-training speedup. An off-the-shelf, easy-to-implement algorithm for the efficient training of foundatio…☆222Updated last year
- [NeurIPS 2022] Implementation of "AdaptFormer: Adapting Vision Transformers for Scalable Visual Recognition"☆366Updated 2 years ago
- [CVPR 2023 Highlight] This is the official implementation of "Stitchable Neural Networks".☆247Updated 2 years ago
- LoMaR (Efficient Self-supervised Vision Pretraining with Local Masked Reconstruction)☆65Updated 4 months ago
- (ICLR 2023) Official PyTorch implementation of "What Do Self-Supervised Vision Transformers Learn?"☆111Updated last year
- [ECCV 2022] A generalized long-tailed challenge that incorporates both the conventional class-wise imbalance and the overlooked attribute…☆125Updated last year
- Exploring Visual Prompts for Adapting Large-Scale Models☆282Updated 3 years ago
- [BMVC 2022] Official repository for "How to Train Vision Transformer on Small-scale Datasets?"☆160Updated last year
- Official implement for ICML2023 paper: "A Closer Look at Self-Supervised Lightweight Vision Transformers"☆138Updated 5 months ago
- The official implementation of CMAE https://arxiv.org/abs/2207.13532 and https://ieeexplore.ieee.org/document/10330745☆108Updated last year
- [NeurIPS 2023] Text data, code and pre-trained models for paper "Improving CLIP Training with Language Rewrites"☆284Updated last year