gyhandy / Hierarchy-CLIPLinks
[CVPR 2023] Improving Zero-shot Generalization and Robustness of Multi-modal Models
☆34Updated 2 years ago
Alternatives and similar repositories for Hierarchy-CLIP
Users that are interested in Hierarchy-CLIP are comparing it to the libraries listed below
Sorting:
- Official code for "Understanding and Mitigating Overfitting in Prompt Tuning for Vision-Language Models" (TCSVT'2023)☆28Updated last year
- Task Residual for Tuning Vision-Language Models (CVPR 2023)☆73Updated 2 years ago
- Code implementation of our NeurIPS 2023 paper: Vocabulary-free Image Classification☆107Updated last year
- ☆27Updated last year
- Code for the paper: "SuS-X: Training-Free Name-Only Transfer of Vision-Language Models" [ICCV'23]☆103Updated 2 years ago
- 【ICCV 2023】Diverse Data Augmentation with Diffusions for Effective Test-time Prompt Tuning & 【IJCV 2025】Diffusion-Enhanced Test-time Adap…☆66Updated 7 months ago
- [NeurIPS 2023] Align Your Prompts: Test-Time Prompting with Distribution Alignment for Zero-Shot Generalization☆106Updated last year
- [NeurIPS2023] Official implementation and model release of the paper "What Makes Good Examples for Visual In-Context Learning?"☆177Updated last year
- ☆58Updated 3 months ago
- Code and results accompanying our paper titled CHiLS: Zero-Shot Image Classification with Hierarchical Label Sets☆57Updated 2 years ago
- [ICLR 2024] Test-Time Adaptation with CLIP Reward for Zero-Shot Generalization in Vision-Language Models.☆85Updated last year
- [ICCV 2023] Bayesian Prompt Learning for Image-Language Model Generalization☆36Updated last year
- LaFTer: Label-Free Tuning of Zero-shot Classifier using Language and Unlabeled Image Collections (NeurIPS 2023)☆29Updated last year
- Augmenting with Language-guided Image Augmentation (ALIA)☆78Updated last year
- Exploring prompt tuning with pseudolabels for multiple modalities, learning settings, and training strategies.☆50Updated 9 months ago
- This repo is the official implementation of UPL (Unsupervised Prompt Learning for Vision-Language Models).☆115Updated 3 years ago
- [TMLR'24] This repository includes the official implementation our paper "Unleashing the Power of Visual Prompting At the Pixel Level"☆41Updated last year
- [CVPR'24] Validation-free few-shot adaptation of CLIP, using a well-initialized Linear Probe (ZSLP) and class-adaptive constraints (CLAP)…☆75Updated 2 months ago
- Official repository for the ICCV 2023 paper: "Waffling around for Performance: Visual Classification with Random Words and Broad Concepts…☆57Updated 2 years ago
- Official code for ICCV 2023 paper, "Improving Zero-Shot Generalization for CLIP with Synthesized Prompts"☆100Updated last year
- Distribution-Aware Prompt Tuning for Vision-Language Models (ICCV 2023)☆42Updated last year
- Official Pytorch implementation of "E2VPT: An Effective and Efficient Approach for Visual Prompt Tuning". (ICCV2023)☆71Updated last year
- Prompt Generation Networks for Input-Space Adaptation of Frozen Vision Transformers. Jochem Loedeman, Maarten C. Stol, Tengda Han, Yuki M…☆42Updated 11 months ago
- ☆100Updated last year
- Official Pytorch implementation of 'Facing the Elephant in the Room: Visual Prompt Tuning or Full Finetuning'? (ICLR2024)☆13Updated last year
- [ICLR2023] PLOT: Prompt Learning with Optimal Transport for Vision-Language Models☆169Updated last year
- Preventing Zero-Shot Transfer Degradation in Continual Learning of Vision-Language Models☆96Updated last year
- [ICCV 2023] Prompt-aligned Gradient for Prompt Tuning☆165Updated 2 years ago
- [CVPR2022] PyTorch re-implementation of Prompt Distribution Learning☆18Updated 2 years ago
- ☆59Updated 3 years ago