salesforce / MUST
PyTorch code for MUST
☆105Updated last year
Related projects ⓘ
Alternatives and complementary repositories for MUST
- A PyTorch implementation of Mugs proposed by our paper "Mugs: A Multi-Granular Self-Supervised Learning Framework".☆83Updated 9 months ago
- Filtering, Distillation, and Hard Negatives for Vision-Language Pre-Training☆132Updated last year
- This repo is the official implementation of UPL (Unsupervised Prompt Learning for Vision-Language Models).☆106Updated 2 years ago
- [NeurIPS2023] Official implementation and model release of the paper "What Makes Good Examples for Visual In-Context Learning?"☆166Updated 8 months ago
- This is a offical PyTorch/GPU implementation of SupMAE.☆77Updated 2 years ago
- Release of ImageNet-Captions☆45Updated last year
- ☆65Updated last year
- Reproducible scaling laws for contrastive language-image learning (https://arxiv.org/abs/2212.07143)☆153Updated 11 months ago
- ☆113Updated last year
- ☆50Updated 2 years ago
- ☆58Updated 2 years ago
- Code for Finetune like you pretrain: Improved finetuning of zero-shot vision models☆90Updated last year
- Toolkit for Elevater Benchmark☆67Updated last year
- 📍 Official pytorch implementation of paper "ProtoCLIP: Prototypical Contrastive Language Image Pretraining" (IEEE TNNLS)☆48Updated last year
- ☆171Updated last year
- [ICCV 2023] Prompt-aligned Gradient for Prompt Tuning☆151Updated last year
- Code and Models for "GeneCIS A Benchmark for General Conditional Image Similarity"☆54Updated last year
- Official Code of ECCV 2022 paper MS-CLIP☆86Updated 2 years ago
- Code for the paper titled "CiT Curation in Training for Effective Vision-Language Data".☆78Updated last year
- Compress conventional Vision-Language Pre-training data☆49Updated last year
- CLIP Itself is a Strong Fine-tuner: Achieving 85.7% and 88.0% Top-1 Accuracy with ViT-B and ViT-L on ImageNet☆208Updated last year
- PyTorch implementation of the paper "MILAN: Masked Image Pretraining on Language Assisted Representation" https://arxiv.org/pdf/2208.0604…☆79Updated 2 years ago
- This code provides a PyTorch implementation for OTTER (Optimal Transport distillation for Efficient zero-shot Recognition), as described …☆64Updated 2 years ago
- ECCV2022,Bootstrapped Masked Autoencoders for Vision BERT Pretraining☆98Updated 2 years ago
- [ECCV2022] New benchmark for evaluating pre-trained model; New supervised contrastive learning framework.☆106Updated 11 months ago
- Augmenting with Language-guided Image Augmentation (ALIA)☆63Updated last year
- code release of research paper "Exploring Long-Sequence Masked Autoencoders"☆99Updated 2 years ago
- Command-line tool for downloading and extending the RedCaps dataset.☆45Updated 11 months ago
- Repository for the paper: Teaching Structured Vision & Language Concepts to Vision & Language Models☆45Updated last year
- Code implementation of our NeurIPS 2023 paper: Vocabulary-free Image Classification☆102Updated 9 months ago