ml-jku / MIM-RefinerLinks
A Contrastive Learning Boost from Intermediate Pre-Trained Representations
☆43Updated 11 months ago
Alternatives and similar repositories for MIM-Refiner
Users that are interested in MIM-Refiner are comparing it to the libraries listed below
Sorting:
- Official Implementation of the CrossMAE paper: Rethinking Patch Dependence for Masked Autoencoders☆117Updated 5 months ago
- ☆32Updated last year
- Code and models for the paper "The effectiveness of MAE pre-pretraining for billion-scale pretraining" https://arxiv.org/abs/2303.13496☆92Updated 5 months ago
- Code for experiments for "ConvNet vs Transformer, Supervised vs CLIP: Beyond ImageNet Accuracy"☆101Updated last year
- PyTorch implementation of Semi-supervised Vision Transformers☆59Updated 2 years ago
- [CVPR24] Official Implementation of GEM (Grounding Everything Module)☆129Updated 5 months ago
- PyTorch implementation of R-MAE https//arxiv.org/abs/2306.05411☆114Updated 2 years ago
- [ICML 2024] This repository includes the official implementation of our paper "Rejuvenating image-GPT as Strong Visual Representation Lea…☆98Updated last year
- PyTorch reimplementation of FlexiViT: One Model for All Patch Sizes☆62Updated last year
- [WACV2025 Oral] DeepMIM: Deep Supervision for Masked Image Modeling☆53Updated 4 months ago
- [CVPR'23 & TPAMI'25] Hard Patches Mining for Masked Image Modeling & Bootstrap Masked Visual Modeling via Hard Patch Mining☆102Updated 5 months ago
- PyTorch code and pretrained weights for the UNIC models.☆39Updated last year
- ☆52Updated last year
- [NeurIPS2022] This is the official implementation of the paper "Expediting Large-Scale Vision Transformer for Dense Prediction without Fi…☆85Updated last year
- This is a offical PyTorch/GPU implementation of SupMAE.☆78Updated 3 years ago
- [CVPR 2024] Code release for "Unsupervised Universal Image Segmentation"☆215Updated last year
- PyTorch implementation of the paper "No reason for no supervision: Improving the generalization of supervised models"☆18Updated 2 years ago
- (ICLR 2023) Official PyTorch implementation of "What Do Self-Supervised Vision Transformers Learn?"☆110Updated last year
- [ICLR 2023 Spotlight] GPViT: A High Resolution Non-Hierarchical Vision Transformer with Group Propagation☆101Updated 2 years ago
- RO-ViT CVPR 2023 "Region-Aware Pretraining for Open-Vocabulary Object Detection with Vision Transformers"☆18Updated 2 years ago
- [NeurIPS'23] DropPos: Pre-Training Vision Transformers by Reconstructing Dropped Positions☆61Updated last year
- Data-Efficient Multimodal Fusion on a Single GPU☆67Updated last year
- Official repository of paper "Subobject-level Image Tokenization" (ICML-25)☆85Updated 2 months ago
- Library implementation of "No Train, all Gain: Self-Supervised Gradients Improve Deep Frozen Representations"☆40Updated 10 months ago
- [ECCV 2024] PyTorch implementation of CropMAE, introduced in "Efficient Image Pre-Training with Siamese Cropped Masked Autoencoders"☆59Updated 6 months ago
- ☆53Updated last month
- The Official PyTorch Implementation of OTSeg: Multi-prompt Sinkhorn Attention for Zero-Shot Semantic Segmentation☆34Updated last year
- ☆52Updated 8 months ago
- [CVPR 2025] Official PyTorch implementation of MaskSub "Masking meets Supervision: A Strong Learning Alliance"☆45Updated 5 months ago
- A PyTorch implementation of Mugs proposed by our paper "Mugs: A Multi-Granular Self-Supervised Learning Framework".☆82Updated last year