jaycheney / Awesome-CLIP-Few-Shot-LearningLinks
This repository lists some awesome public projects about Zero-shot/Few-shot Learning based on CLIP (Contrastive Language-Image Pre-Training).
☆26Updated 11 months ago
Alternatives and similar repositories for Awesome-CLIP-Few-Shot-Learning
Users that are interested in Awesome-CLIP-Few-Shot-Learning are comparing it to the libraries listed below
Sorting:
- [CVPR2024] Simple Semantic-Aided Few-Shot Learning☆51Updated last year
- ☆50Updated last year
- The official code for "TextRefiner: Internal Visual Feature as Efficient Refiner for Vision-Language Models Prompt Tuning" | [AAAI2025]☆45Updated 7 months ago
- ☆27Updated last year
- [CVPR 2024] Offical implemention of the paper "DePT: Decoupled Prompt Tuning"☆108Updated 5 months ago
- Official Repository for CVPR 2024 Paper: "Large Language Models are Good Prompt Learners for Low-Shot Image Classification"☆38Updated last year
- Official pytorch implementation of ZiRa, a method for incremental vision language object detection (IVLOD)，which has been accepted by Neu…☆27Updated last year
- CVPR2024: Dual Memory Networks: A Versatile Adaptation Approach for Vision-Language Models☆85Updated last year
- [CVPR 2025] Official PyTorch Code for "MMRL: Multi-Modal Representation Learning for Vision-Language Models" and its extension "MMRL++: P…☆81Updated 4 months ago
- 🔥MDCS: More Diverse Experts with Consistency Self-distillation for Long-tailed Recognition [Official, ICCV 2023]☆30Updated last year
- ☆27Updated last year
- CLIP-Mamba: CLIP Pretrained Mamba Models with OOD and Hessian Evaluation☆76Updated last year
- [AAAI 2024] TagCLIP: A Local-to-Global Framework to Enhance Open-Vocabulary Multi-Label Classification of CLIP Without Training☆103Updated last year
- Source code of the paper Fine-Grained Visual Classification via Internal Ensemble Learning Transformer☆53Updated last year
- Official code for ICCV 2023 paper, "Improving Zero-Shot Generalization for CLIP with Synthesized Prompts"☆102Updated last year
- Pytorch Implementation for CVPR 2024 paper: Learn to Rectify the Bias of CLIP for Unsupervised Semantic Segmentation☆54Updated 2 months ago
- Official Code of SATS: Self-Attention Transfer for Continual Semantic Segmentation☆25Updated 2 years ago
- Code for Label Propagation for Zero-shot Classification with Vision-Language Models (CVPR2024)☆43Updated last year
- Official Pytorch implementation of "E2VPT: An Effective and Efficient Approach for Visual Prompt Tuning". (ICCV2023)☆70Updated last year
- ☆23Updated 3 weeks ago
- A curated list of papers, datasets and resources pertaining to zero-shot object detection.☆29Updated 2 years ago
- Code for paper "Boosting Continual Learning of Vision-Language Models via Mixture-of-Experts Adapters" CVPR2024☆253Updated last month
- Pytorch implementation of "Learning Domain-Aware Detection Head with Prompt Tuning" (NeurIPS 2023)☆20Updated last year
- PyTorch implementation of "Continual Detection Transformer for Incremental Object Detection" (CVPR 2023)☆109Updated 9 months ago
- [CVPR 2024] PriViLege: Pre-trained Vision and Language Transformers Are Few-Shot Incremental Learners☆53Updated last year
- The official implementation of paper: "Inter-Instance Similarity Modeling for Contrastive Learning"☆117Updated 11 months ago
- Unofficial Implementation to CDUL: CLIP-Driven Unsupervised Learning for Multi-Label Image Classification [ICCV'23]☆32Updated last year
- [NeurIPS2023] LoCoOp: Few-Shot Out-of-Distribution Detection via Prompt Learning☆100Updated 3 months ago
- [CVPR'24] Validation-free few-shot adaptation of CLIP, using a well-initialized Linear Probe (ZSLP) and class-adaptive constraints (CLAP)…☆78Updated 4 months ago
- Python code to implement DeIL, a CLIP based approach for open-world few-shot learning.☆19Updated 11 months ago