Alternatives and similar repositories for Awesome-CLIP-Few-Shot-Learning

Users that are interested in Awesome-CLIP-Few-Shot-Learning are comparing it to the libraries listed below

• TJU-sjyj / AMU-Tuning
  ☆47Updated last year
• xjjxmu / TextRefiner
  The official code for "TextRefiner: Internal Visual Feature as Efficient Refiner for Vision-Language Models Prompt Tuning" | [AAAI2025]
  ☆41Updated 3 months ago
• YBZh / DMN
  CVPR2024: Dual Memory Networks: A Versatile Adaptation Approach for Vision-Language Models
  ☆73Updated 11 months ago
• zhangdoudou123 / SemFew
  [CVPR2024] Simple Semantic-Aided Few-Shot Learning
  ☆42Updated 9 months ago
• htyao89 / Textual-based_Class-aware_prompt_tuning
  ☆24Updated last year
• Koorye / DePT
  [CVPR 2024] Offical implemention of the paper "DePT: Decoupled Prompt Tuning"
  ☆104Updated 3 weeks ago
• ArsenalCheng / Meta-Adapter
  [NeurIPS 2023] Meta-Adapter
  ☆49Updated last year
• JarintotionDin / ZiRaGroundingDINO
  Official pytorch implementation of ZiRa, a method for incremental vision language object detection (IVLOD)，which has been accepted by Neu…
  ☆23Updated 8 months ago
• BWLONG / Awesome-Prompt-Learning-CV
  This repository is a collection of awesome things about vision prompts, including papers, code, etc.
  ☆34Updated last year
• dogehhh / ReCLIP
  Pytorch Implementation for CVPR 2024 paper: Learn to Rectify the Bias of CLIP for Unsupervised Semantic Segmentation
  ☆45Updated 2 weeks ago
• mainaksingha01 / APPLeNet
  ☆22Updated 10 months ago
• ShuvenduRoy / CoPrompt
  [ICLR'24] Consistency-guided Prompt Learning for Vision-Language Models
  ☆75Updated last year
• zhaohengz / LLaMP
  Official Repository for CVPR 2024 Paper: "Large Language Models are Good Prompt Learners for Low-Shot Image Classification"
  ☆36Updated 11 months ago
• KU-VGI / PriViLege
  [CVPR 2024] PriViLege: Pre-trained Vision and Language Transformers Are Few-Shot Incremental Learners
  ☆51Updated 9 months ago
• DoubleClass / GMM
  Generative Multi-modal Models are Good Class Incremental Learners, CVPR 2024 [PyTorch Code]
  ☆45Updated 7 months ago
• mrflogs / SHIP
  Official code for ICCV 2023 paper, "Improving Zero-Shot Generalization for CLIP with Synthesized Prompts"
  ☆101Updated last year
• sangrokleeeeee / DAC
  (CVPR2023) official code of Decompose, Adjust, Compose: Effective Normalization by Playing with Frequency for Domain Generalization
  ☆31Updated last year
• mrkshllr / FewTURE
  Official implementation of the paper "Rethinking Generalization in Few-Shot Classification" [NeurIPS 2022]
  ☆63Updated 2 years ago
• SSDUT-Caiyq / UFG-NCD
  (CVPR2024 Highlight) Novel Class Discovery for Ultra-Fine-Grained Visual Categorization (UFG-NCD)
  ☆19Updated 11 months ago
• linyq2117 / TagCLIP
  [AAAI 2024] TagCLIP: A Local-to-Global Framework to Enhance Open-Vocabulary Multi-Label Classification of CLIP Without Training
  ☆92Updated last year
• QIU023 / SATS_Continual_Semantic_Seg
  Official Code of SATS: Self-Attention Transfer for Continual Semantic Segmentation
  ☆25Updated 2 years ago
• AtsuMiyai / LoCoOp
  [NeurIPS2023] LoCoOp: Few-Shot Out-of-Distribution Detection via Prompt Learning
  ☆96Updated 10 months ago
• codeshop715 / SPM
  ☆26Updated last year
• megvii-research / CasPL
  ☆42Updated 4 months ago
• mainaksingha01 / AD-CLIP
  ☆15Updated last year
• mobulan / IELT
  Source code of the paper Fine-Grained Visual Classification via Internal Ensemble Learning Transformer
  ☆48Updated last year
• MarcLafon / gallop
  Adaptation of vision-language models (CLIP) to downstream tasks using local and global prompts.
  ☆45Updated 8 months ago
• fistyee / MDCS
  🔥MDCS: More Diverse Experts with Consistency Self-distillation for Long-tailed Recognition [Official, ICCV 2023]
  ☆30Updated 8 months ago
• nobody-1617 / DETA
  ☆17Updated 2 years ago
• gaojingsheng / LAMM
  Code and Dataset for the paper "LAMM: Label Alignment for Multi-Modal Prompt Learning" AAAI 2024
  ☆32Updated last year