sheng-eatamath / S3A
repo for paper titled: Towards Realistic Zero-Shot Classification via Self Structural Semantic Alignment (AAAI'24 Oral)
☆25Updated 11 months ago
Alternatives and similar repositories for S3A:
Users that are interested in S3A are comparing it to the libraries listed below
- Code for Label Propagation for Zero-shot Classification with Vision-Language Models (CVPR2024)☆36Updated 9 months ago
- Official Pytorch implementation of 'Facing the Elephant in the Room: Visual Prompt Tuning or Full Finetuning'? (ICLR2024)☆14Updated last year
- Official Pytorch codebase for Open-Vocabulary Instance Segmentation without Manual Mask Annotations [CVPR 2023]☆50Updated 4 months ago
- ☆24Updated 10 months ago
- LaFTer: Label-Free Tuning of Zero-shot Classifier using Language and Unlabeled Image Collections (NeurIPS 2023)☆28Updated last year
- 【ICCV 2023】Diverse Data Augmentation with Diffusions for Effective Test-time Prompt Tuning & 【IJCV 2025】Diffusion-Enhanced Test-time Adap…☆62Updated 3 months ago
- ☆26Updated last year
- ☆21Updated last year
- Perceptual Grouping in Contrastive Vision-Language Models (ICCV'23)☆36Updated last year
- Official code for "Disentangling Visual Embeddings for Attributes and Objects" Published at CVPR 2022☆35Updated last year
- Generating Image Specific Text☆27Updated last year
- [TIP] Exploring Effective Factors for Improving Visual In-Context Learning☆20Updated 6 months ago
- Official code for the paper, "TaCA: Upgrading Your Visual Foundation Model with Task-agnostic Compatible Adapter".☆16Updated last year
- Repository for the paper: Teaching VLMs to Localize Specific Objects from In-context Examples☆23Updated 5 months ago
- ☆39Updated 3 months ago
- COLA: Evaluate how well your vision-language model can Compose Objects Localized with Attributes!☆24Updated 5 months ago
- Distribution-Aware Prompt Tuning for Vision-Language Models (ICCV 2023)☆38Updated last year
- 📍 Official pytorch implementation of paper "ProtoCLIP: Prototypical Contrastive Language Image Pretraining" (IEEE TNNLS)☆52Updated last year
- [CVPR 2023] Prompt, Generate, then Cache: Cascade of Foundation Models makes Strong Few-shot Learners☆42Updated last year
- [NeurIPS 2023] Align Your Prompts: Test-Time Prompting with Distribution Alignment for Zero-Shot Generalization☆105Updated last year
- [ECCV-2022]Grounding Visual Representations with Texts for Domain Generalization☆31Updated 2 years ago
- Compress conventional Vision-Language Pre-training data☆49Updated last year
- ☆59Updated 3 years ago
- A Python toolkit for the OmniLabel benchmark providing code for evaluation and visualization☆21Updated 3 months ago
- [ICCV 2023] Bayesian Prompt Learning for Image-Language Model Generalization☆31Updated last year
- ☆18Updated 9 months ago
- This repository contains the code and datasets for our ICCV-W paper 'Enhancing CLIP with GPT-4: Harnessing Visual Descriptions as Prompts…☆28Updated last year
- Official code for "Understanding and Mitigating Overfitting in Prompt Tuning for Vision-Language Models" (TCSVT'2023)☆27Updated last year
- [NeurIPS 2023] Meta-Adapter☆48Updated last year
- ☆20Updated last year