sunanhe / MKTLinks
Official implementation of "Open-Vocabulary Multi-Label Classification via Multi-Modal Knowledge Transfer".
☆129Updated last year
Alternatives and similar repositories for MKT
Users that are interested in MKT are comparing it to the libraries listed below
Sorting:
- ☆94Updated 2 years ago
- [ICCV 2023] ALIP: Adaptive Language-Image Pre-training with Synthetic Caption☆102Updated 2 years ago
- [ICCV 2023] Code for "Not All Features Matter: Enhancing Few-shot CLIP with Adaptive Prior Refinement"☆149Updated last year
- ☆194Updated 2 years ago
- ☆104Updated 2 years ago
- Task Residual for Tuning Vision-Language Models (CVPR 2023)☆73Updated 2 years ago
- [NeurIPS 2023] Text data, code and pre-trained models for paper "Improving CLIP Training with Language Rewrites"☆286Updated last year
- Code for the paper: "SuS-X: Training-Free Name-Only Transfer of Vision-Language Models" [ICCV'23]☆105Updated 2 years ago
- [AAAI 2024] TagCLIP: A Local-to-Global Framework to Enhance Open-Vocabulary Multi-Label Classification of CLIP Without Training☆105Updated last year
- Official code for ICCV 2023 paper, "Improving Zero-Shot Generalization for CLIP with Synthesized Prompts"☆103Updated last year
- Implementation for "DualCoOp: Fast Adaptation to Multi-Label Recognition with Limited Annotations" (NeurIPS 2022))☆70Updated 2 years ago
- MixGen: A New Multi-Modal Data Augmentation☆126Updated 2 years ago
- Context-I2W: Mapping Images to Context-dependent words for Accurate Zero-Shot Composed Image Retrieval [AAAI 2024 Oral]☆55Updated 6 months ago
- [CVPR 2024] Offical implemention of the paper "DePT: Decoupled Prompt Tuning"☆109Updated 2 weeks ago
- ☆55Updated 3 years ago
- [CVPR-2024] Official implementations of CLIP-KD: An Empirical Study of CLIP Model Distillation☆134Updated 3 months ago
- Learning Hierarchical Prompt with Structured Linguistic Knowledge for Vision-Language Models (AAAI 2024)☆73Updated 10 months ago
- [CVPR2023] The code for 《Position-guided Text Prompt for Vision-Language Pre-training》☆152Updated 2 years ago
- Official Pytorch implementation of "E2VPT: An Effective and Efficient Approach for Visual Prompt Tuning". (ICCV2023)☆71Updated last year
- [ICCV'23 Main Track, WECIA'23 Oral] Official repository of paper titled "Self-regulating Prompts: Foundational Model Adaptation without F…☆281Updated 2 years ago
- 【ICLR 2024, Spotlight】Sentence-level Prompts Benefit Composed Image Retrieval☆91Updated last year
- [TPAMI] Searching prompt modules for parameter-efficient transfer learning.☆238Updated 2 years ago
- [ICCV 2023] Prompt-aligned Gradient for Prompt Tuning☆166Updated 2 years ago
- [ECCV 2024] Official PyTorch implementation of DreamLIP: Language-Image Pre-training with Long Captions☆136Updated 7 months ago
- Multimodal-Composite-Editing-and-Retrieval-update☆34Updated last month
- [AAAI'25, CVPRW 2024] Official repository of paper titled "Learning to Prompt with Text Only Supervision for Vision-Language Models".☆114Updated 11 months ago
- ☆29Updated last year
- Official Codes for Fine-Grained Visual Prompting, NeurIPS 2023☆55Updated last year
- CLIP Itself is a Strong Fine-tuner: Achieving 85.7% and 88.0% Top-1 Accuracy with ViT-B and ViT-L on ImageNet☆222Updated 2 years ago
- [TMM 2023] Self-paced Curriculum Adapting of CLIP for Visual Grounding.☆132Updated last month