shlokk / mae-contrastiveLinks
Official implementation of "A simple, efficient and scalable contrastive masked autoencoder for learning visual representations".
☆34Updated 2 years ago
Alternatives and similar repositories for mae-contrastive
Users that are interested in mae-contrastive are comparing it to the libraries listed below
Sorting:
- PyTorch Implementation of "Your ViT is Secretly a Hybrid Discriminative-Generative Diffusion Model"☆49Updated 2 years ago
- PyTorch reimplementation of "A simple, efficient and scalable contrastive masked autoencoder for learning visual representations".☆39Updated 2 years ago
- [NeurIPS 2022] code for the paper, SemMAE: Semantic-guided masking for learning masked autoencoders☆38Updated 2 years ago
- An official implementation of CVPR 2023 "Self-Guided Diffusion Models"☆27Updated 2 years ago
- MaskCon: Masked Contrastive Learning for Coarse-Labeled Dataset (CVPR2023)☆34Updated 4 months ago
- ☆61Updated 2 years ago
- ResMLP: Feedforward networks for image classification with data-efficient training☆43Updated 4 years ago
- Simple MAE (masked autoencoders) with pytorch and pytorch-lightning.☆44Updated last year
- (ICLR 2023) Official PyTorch implementation of "What Do Self-Supervised Vision Transformers Learn?"☆111Updated last year
- [CVPR'23 & TPAMI'25] Hard Patches Mining for Masked Image Modeling☆100Updated 3 months ago
- Official PyTorch Implementation☆18Updated 2 years ago
- ☆32Updated last year
- ☆24Updated 3 years ago
- Official repository for "Orthogonal Projection Loss" (ICCV'21)☆125Updated 3 years ago
- Denoising Masked Autoencoders Help Robust Classification.☆66Updated 2 years ago
- [ICLR 2023] Masked Frequency Modeling for Self-Supervised Visual Pre-Training☆77Updated 2 years ago
- Visualizing representations with diffusion based conditional generative model.☆96Updated 2 years ago
- [CVPR 2022 Oral] Rethinking Minimal Sufficient Representation in Contrastive Learning☆69Updated last year
- This is a offical PyTorch/GPU implementation of SupMAE.☆78Updated 2 years ago
- Official code for "Bridging the Gap between Classification and Localization for Weakly Supervised Object Localization (CVPR 2022)"☆30Updated last year
- Hyperbolic Busemann Learning with Ideal Prototypes, NeurIPS2021☆24Updated 3 years ago
- The official implementation of CMAE https://arxiv.org/abs/2207.13532 and https://ieeexplore.ieee.org/document/10330745☆107Updated last year
- Official Code for ICML 2023 Paper: On the Generalization of Multi-modal Contrastive Learning☆26Updated last year
- CVPR 2022, Robust Contrastive Learning against Noisy Views☆83Updated 3 years ago
- This repository contains the code for our paper "Probabilistic Contrastive Learning Recovers the Correct Aleatoric Uncertainty of Ambiguo…☆41Updated 2 years ago
- Code for "Training on Thin Air: Improve Image Classification with Generated Data"☆47Updated 2 years ago
- Pytorch implementation of our CVPR 23' paper DivClust: Controlling Diversity in Deep Clustering.☆31Updated last year
- LoMaR (Efficient Self-supervised Vision Pretraining with Local Masked Reconstruction)☆65Updated 4 months ago
- Code Release for "Self-supervised Learning is More Robust to Dataset Imbalance"☆39Updated 3 years ago
- PyTorch reimplementation of FlexiViT: One Model for All Patch Sizes☆61Updated last year