ZhangYuanhan-AI / visual_prompt_retrieval
[NeurIPS2023] Official implementation and model release of the paper "What Makes Good Examples for Visual In-Context Learning?"
☆166Updated 8 months ago
Related projects ⓘ
Alternatives and complementary repositories for visual_prompt_retrieval
- This repo is the official implementation of UPL (Unsupervised Prompt Learning for Vision-Language Models).☆106Updated 2 years ago
- [ICCV 2023] Prompt-aligned Gradient for Prompt Tuning☆150Updated last year
- 📍 Official pytorch implementation of paper "ProtoCLIP: Prototypical Contrastive Language Image Pretraining" (IEEE TNNLS)☆48Updated last year
- ☆58Updated 2 years ago
- Repository for the paper: Teaching Structured Vision & Language Concepts to Vision & Language Models☆44Updated last year
- ☆65Updated last year
- ☆56Updated 2 years ago
- [ECCV 2024] Official PyTorch implementation of DreamLIP: Language-Image Pre-training with Long Captions☆105Updated last week
- Code for the paper: "SuS-X: Training-Free Name-Only Transfer of Vision-Language Models" [ICCV'23]☆94Updated last year
- Task Residual for Tuning Vision-Language Models (CVPR 2023)☆65Updated last year
- Compress conventional Vision-Language Pre-training data☆49Updated last year
- Test-time Prompt Tuning (TPT) for zero-shot generalization in vision-language models (NeurIPS 2022))☆144Updated 2 years ago
- ☆170Updated last year
- [NeurIPS'22] This is an official implementation for "Scaling & Shifting Your Features: A New Baseline for Efficient Model Tuning".☆172Updated last year
- Toolkit for Elevater Benchmark☆67Updated 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
- [ICLR2023] PLOT: Prompt Learning with Optimal Transport for Vision-Language Models☆145Updated 10 months ago
- [NeurIPS 2023] Text data, code and pre-trained models for paper "Improving CLIP Training with Language Rewrites"☆258Updated 9 months ago
- ☆55Updated last year
- VL-LTR: Learning Class-wise Visual-Linguistic Representation for Long-Tailed Visual Recognition☆64Updated 2 years ago
- [CVPR2023] The code for 《Position-guided Text Prompt for Vision-Language Pre-training》☆149Updated last year
- Official code for "What Makes for Good Visual Tokenizers for Large Language Models?".☆56Updated last year
- Code for Finetune like you pretrain: Improved finetuning of zero-shot vision models☆89Updated last year
- [CVPR2022] PyTorch re-implementation of Prompt Distribution Learning☆15Updated last year
- Is synthetic data from generative models ready for image recognition?☆175Updated last year
- Code and results accompanying our paper titled CHiLS: Zero-Shot Image Classification with Hierarchical Label Sets☆54Updated last year
- Augmenting with Language-guided Image Augmentation (ALIA)☆62Updated last year
- Official PyTorch implementation for "Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few Labels"☆78Updated 9 months ago
- This is the official repo for Debiasing Large Visual Language Models, including a Post-Hoc debias method and Visual Debias Decoding strat…☆71Updated 7 months ago
- [ICLR2024] Exploring Target Representations for Masked Autoencoders☆52Updated 9 months ago