ryongithub / GatedPromptTuningLinks
☆52Updated last year
Alternatives and similar repositories for GatedPromptTuning
Users that are interested in GatedPromptTuning are comparing it to the libraries listed below
Sorting:
- Official code of "Generating Instance-level Prompts for Rehearsal-free Continual Learning (ICCV 2023)"☆42Updated last year
- [CVPR 2024] Official Repository for "Efficient Test-Time Adaptation of Vision-Language Models"☆95Updated 10 months ago
- About Code Release for "CLIPood: Generalizing CLIP to Out-of-Distributions" (ICML 2023), https://arxiv.org/abs/2302.00864☆66Updated last year
- 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
- [ICCV 2023] Bayesian Prompt Learning for Image-Language Model Generalization☆33Updated last year
- [TMLR'24] This repository includes the official implementation our paper "Unleashing the Power of Visual Prompting At the Pixel Level"☆41Updated last year
- Official implementation of PCS in essay "Prompt Vision Transformer for Domain Generalization"☆50Updated 2 years ago
- LaFTer: Label-Free Tuning of Zero-shot Classifier using Language and Unlabeled Image Collections (NeurIPS 2023)☆29Updated last year
- ☆96Updated last year
- Official repository for "CLIP model is an Efficient Continual Learner".☆96Updated 2 years ago
- [ICLR 2023] The official code for our ICLR 2023 (top25%) paper: "Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class…☆90Updated last year
- [CVPR'24] Validation-free few-shot adaptation of CLIP, using a well-initialized Linear Probe (ZSLP) and class-adaptive constraints (CLAP)…☆72Updated last month
- Pytorch implementation of DAPrompt: https://arxiv.org/abs/2202.06687☆93Updated 2 years ago
- ☆17Updated 7 months ago
- 【ICCV 2023】Diverse Data Augmentation with Diffusions for Effective Test-time Prompt Tuning & 【IJCV 2025】Diffusion-Enhanced Test-time Adap…☆63Updated 4 months ago
- This is a community implementation for the paper EcoTTA: Memory-Efficient Continual Test-time Adaptation via Self-distilled Regularizatio…☆33Updated last year
- [CVPR23] "Understanding and Improving Visual Prompting: A Label-Mapping Perspective" by Aochuan Chen, Yuguang Yao, Pin-Yu Chen, Yihua Zha…☆53Updated last year
- [NeurIPS 2024] Code for Dual Prototype Evolving for Test-Time Generalization of Vision-Language Models☆41Updated 2 months ago
- Preventing Zero-Shot Transfer Degradation in Continual Learning of Vision-Language Models☆96Updated last year
- Official implementation of "CoMFormer: Continual Learning in Semantic and Panoptic Segmentation"☆40Updated last year
- Official code for ICCV 2023 paper, "Improving Zero-Shot Generalization for CLIP with Synthesized Prompts"☆101Updated last year
- (NeurIPS 2022) Understanding Cross-Domain Few-Shot Learning Based on Domain Similarity and Few-Shot Difficulty☆33Updated last year
- ☆29Updated last year
- [CVPR 2024] Leveraging Vision-Language Models for Improving Domain Generalization in Image Classification☆31Updated last year
- [ICCV 2023 Oral] Official PyTorch implementation of our paper for semi-supervised continual learning "A soft nearest-neighbor framework f…☆23Updated 5 months ago
- Official Pytorch implementation of "E2VPT: An Effective and Efficient Approach for Visual Prompt Tuning". (ICCV2023)☆68Updated last year
- Code for ICML 2022 paper — Efficient Test-Time Model Adaptation without Forgetting☆121Updated 2 years ago
- ☆19Updated 2 years ago
- Official code for "Understanding and Mitigating Overfitting in Prompt Tuning for Vision-Language Models" (TCSVT'2023)☆28Updated last year
- ☆39Updated 4 months ago