Alternatives and similar repositories for s-clip

Users that are interested in s-clip are comparing it to the libraries listed below

• vishaal27 / SuS-X
  Code for the paper: "SuS-X: Training-Free Name-Only Transfer of Vision-Language Models" [ICCV'23]
  ☆105Updated 2 years ago
• ivonajdenkoska / multimodal-meta-learn
  [ICLR 2023] Official code repository for "Meta Learning to Bridge Vision and Language Models for Multimodal Few-Shot Learning"
  ☆60Updated 2 years ago
• acmi-lab / CHILS
  Code and results accompanying our paper titled CHiLS: Zero-Shot Image Classification with Hierarchical Label Sets
  ☆58Updated 2 years ago
• htyao89 / KgCoOp
  ☆104Updated last year
• tonyhuang2022 / UPL
  This repo is the official implementation of UPL (Unsupervised Prompt Learning for Vision-Language Models).
  ☆117Updated 3 years ago
• jmiemirza / LaFTer
  LaFTer: Label-Free Tuning of Zero-shot Classifier using Language and Unlabeled Image Collections (NeurIPS 2023)
  ☆29Updated last year
• jameelhassan / PromptAlign
  [NeurIPS 2023] Align Your Prompts: Test-Time Prompting with Distribution Alignment for Zero-Shot Generalization
  ☆108Updated last year
• CHENGY12 / PLOT
  [ICLR2023] PLOT: Prompt Learning with Optimal Transport for Vision-Language Models
  ☆171Updated last year
• mzhaoshuai / RLCF
  [ICLR 2024] Test-Time RL with CLIP Feedback for Vision-Language Models.
  ☆95Updated 3 weeks ago
• ZhangYuanhan-AI / visual_prompt_retrieval
  [NeurIPS2023] Official implementation and model release of the paper "What Makes Good Examples for Visual In-Context Learning?"
  ☆178Updated last year
• xmed-lab / CLIPN
  ICCV 2023: CLIPN for Zero-Shot OOD Detection: Teaching CLIP to Say No
  ☆140Updated last year
• alinlab / ifseg
  IFSeg: Image-free Semantic Segmentation via Vision-Language Model (CVPR 2023)
  ☆94Updated 2 years ago
• chunmeifeng / DiffTPT
  【ICCV 2023】Diverse Data Augmentation with Diffusions for Effective Test-time Prompt Tuning & 【IJCV 2025】Diffusion-Enhanced Test-time Adap…
  ☆68Updated 9 months ago
• ZrrSkywalker / CaFo
  [CVPR 2023] Prompt, Generate, then Cache: Cascade of Foundation Models makes Strong Few-shot Learners
  ☆43Updated 2 years ago
• ylingfeng / FGVP
  Official Codes for Fine-Grained Visual Prompting, NeurIPS 2023
  ☆55Updated last year
• aimagelab / freeda
  FreeDA: Training-Free Open-Vocabulary Segmentation with Offline Diffusion-Augmented Prototype Generation (CVPR 2024)
  ☆46Updated last year
• omipan / svl_adapter
  SVL-Adapter: Self-Supervised Adapter for Vision-Language Pretrained Models
  ☆20Updated last year
• sIncerass / MVLPT
  code for "Multitask Vision-Language Prompt Tuning" https://arxiv.org/abs/2211.11720
  ☆57Updated last year
• cvl-umass / AdaptCLIPZS
  ☆43Updated last month
• megvii-research / protoclip
  📍 Official pytorch implementation of paper "ProtoCLIP: Prototypical Contrastive Language Image Pretraining" (IEEE TNNLS)
  ☆53Updated 2 years ago
• mlvlab / DAPT
  Distribution-Aware Prompt Tuning for Vision-Language Models (ICCV 2023)
  ☆43Updated last year
• callsys / GenPromp
  [ICCV 2023] Generative Prompt Model for Weakly Supervised Object Localization
  ☆57Updated 2 years ago
• machengcheng2016 / Subspace-Prompt-Learning
  Official code for "Understanding and Mitigating Overfitting in Prompt Tuning for Vision-Language Models" (TCSVT'2023)
  ☆28Updated last year
• lezhang7 / Enhance-FineGrained
  [CVPR 2024] Contrasting Intra-Modal and Ranking Cross-Modal Hard Negatives to Enhance Visio-Linguistic Fine-grained Understanding
  ☆52Updated 7 months ago
• ArsenalCheng / Meta-Adapter
  [NeurIPS 2023] Meta-Adapter
  ☆48Updated last year
• Haoqing-Wang / InfoCL
  [CVPR 2022 Oral] Rethinking Minimal Sufficient Representation in Contrastive Learning
  ☆69Updated 2 years ago
• cvlab-columbia / DoubleRight
  ☆27Updated last year
• pals-ttic / adapting-CLIP
  ☆65Updated 2 years ago
• Zi-hao-Wei / Efficient-Vision-Language-Pre-training-by-Cluster-Masking
  [CVPR 2024] Improving language-visual pretraining efficiency by perform cluster-based masking on images.
  ☆29Updated last year
• jusiro / CLAP
  [CVPR'24] Validation-free few-shot adaptation of CLIP, using a well-initialized Linear Probe (ZSLP) and class-adaptive constraints (CLAP)…
  ☆77Updated 5 months ago