KevinLight831 / CTPLinks
[ICCV2023] - CTP: Towards Vision-Language Continual Pretraining via Compatible Momentum Contrast and Topology Preservation
☆38Updated last year
Alternatives and similar repositories for CTP
Users that are interested in CTP are comparing it to the libraries listed below
Sorting:
- Official code for ICLR 2024 paper, "A Hard-to-Beat Baseline for Training-free CLIP-based Adaptation"☆84Updated last year
- [NeurIPS 2023] Generalized Logit Adjustment☆39Updated last year
- Test-time Prompt Tuning (TPT) for zero-shot generalization in vision-language models (NeurIPS 2022))☆198Updated 3 years ago
- Instruction Tuning in Continual Learning paradigm☆65Updated 10 months ago
- [ICCV 2023] Prompt-aligned Gradient for Prompt Tuning☆166Updated 2 years ago
- Official code for ICCV 2023 paper, "Improving Zero-Shot Generalization for CLIP with Synthesized Prompts"☆103Updated last year
- [ICML 2024] "Visual-Text Cross Alignment: Refining the Similarity Score in Vision-Language Models"☆57Updated last year
- The download methods of Vision-language Continual Pretraining Dataset P9D.☆12Updated 11 months ago
- Preventing Zero-Shot Transfer Degradation in Continual Learning of Vision-Language Models☆106Updated last year
- ☆104Updated 2 years ago
- [ICLR2023] PLOT: Prompt Learning with Optimal Transport for Vision-Language Models☆170Updated last year
- ☆55Updated 3 years ago
- ☆175Updated last year
- PyTorch code for the CVPR'23 paper: "CODA-Prompt: COntinual Decomposed Attention-based Prompting for Rehearsal-Free Continual Learning"☆152Updated 2 years ago
- ☆20Updated last year
- ☆21Updated last year
- About Code Release for "CLIPood: Generalizing CLIP to Out-of-Distributions" (ICML 2023), https://arxiv.org/abs/2302.00864☆69Updated 2 years ago
- [NeurIPS 2023] Align Your Prompts: Test-Time Prompting with Distribution Alignment for Zero-Shot Generalization☆110Updated last year
- [AAAI'25, CVPRW 2024] Official repository of paper titled "Learning to Prompt with Text Only Supervision for Vision-Language Models".☆117Updated 11 months ago
- [NeurIPS 2024] Code for Dual Prototype Evolving for Test-Time Generalization of Vision-Language Models☆45Updated 9 months ago
- Exploring prompt tuning with pseudolabels for multiple modalities, learning settings, and training strategies.☆50Updated last year
- Pytorch implementation of DAPrompt: https://arxiv.org/abs/2202.06687☆96Updated 2 years ago
- Code for the paper: "SuS-X: Training-Free Name-Only Transfer of Vision-Language Models" [ICCV'23]☆105Updated 2 years ago
- [NeurIPS'22] This is an official implementation for "Scaling & Shifting Your Features: A New Baseline for Efficient Model Tuning".☆190Updated 2 years ago
- Visual Prompt Tuning in Null Space for Continual Learning (NeurIPS 2024)☆19Updated 3 weeks ago
- [CVPR 2024] Official Repository for "Efficient Test-Time Adaptation of Vision-Language Models"☆110Updated last year
- Task Residual for Tuning Vision-Language Models (CVPR 2023)☆73Updated 2 years ago
- Consistent Prompting for Rehearsal-Free Continual Learning [CVPR2024]☆35Updated 6 months ago
- [CVPR23] "Understanding and Improving Visual Prompting: A Label-Mapping Perspective" by Aochuan Chen, Yuguang Yao, Pin-Yu Chen, Yihua Zha…☆53Updated 2 years ago
- [ICCV 2023 & AAAI 2023] Binary Adapters & FacT, [Tech report] Convpass☆196Updated 2 years ago