Alternatives and similar repositories for Awesome-Prompt-Learning-CV:

Users that are interested in Awesome-Prompt-Learning-CV are comparing it to the libraries listed below

• fistyee / MDCS
  🔥MDCS: More Diverse Experts with Consistency Self-distillation for Long-tailed Recognition [Official, ICCV 2023]
  ☆29Updated 3 months ago
• YBZh / DMN
  CVPR2024: Dual Memory Networks: A Versatile Adaptation Approach for Vision-Language Models
  ☆68Updated 7 months ago
• BaiShuanghao / Prompt-based-Distribution-Alignment
  [AAAI 2024] Prompt-based Distribution Alignment for Unsupervised Domain Adaptation
  ☆60Updated 4 months ago
• AtsuMiyai / LoCoOp
  [NeurIPS2023] LoCoOp: Few-Shot Out-of-Distribution Detection via Prompt Learning
  ☆91Updated 6 months ago
• lloongx / DIKI
  [ECCV 2024] Mind the Interference: Retaining Pre-trained Knowledge in Parameter Efficient Continual Learning of Vision-Language Models
  ☆40Updated 7 months ago
• KU-VGI / BUS
  [CVPR 2024] Open-Set Domain Adaptation for Semantic Segmentation
  ☆35Updated 6 months ago
• mrflogs / SHIP
  Official code for ICCV 2023 paper, "Improving Zero-Shot Generalization for CLIP with Synthesized Prompts"
  ☆97Updated 11 months ago
• XLearning-SCU / 2024-ICLR-READ
  Pytorch implementation of "Test-time Adaption against Multi-modal Reliability Bias".
  ☆34Updated last month
• kdiAAA / TDA
  [CVPR 2024] Official Repository for "Efficient Test-Time Adaptation of Vision-Language Models"
  ☆75Updated 7 months ago
• mainaksingha01 / AD-CLIP
  ☆14Updated 10 months ago
• mala-lab / NegPrompt
  The official implementation of CVPR 24' Paper "Learning Transferable Negative Prompts for Out-of-Distribution Detection"
  ☆49Updated 10 months ago
• TJU-sjyj / AMU-Tuning
  ☆41Updated 10 months ago
• gaojingsheng / LAMM
  Code and Dataset for the paper "LAMM: Label Alignment for Multi-Modal Prompt Learning" AAAI 2024
  ☆32Updated last year
• ThomasWangY / 2024-AAAI-HPT
  Learning Hierarchical Prompt with Structured Linguistic Knowledge for Vision-Language Models (AAAI 2024)
  ☆67Updated 2 weeks ago
• htyao89 / Textual-based_Class-aware_prompt_tuning
  ☆24Updated 11 months ago
• thuml / CLIPood
  About Code Release for "CLIPood: Generalizing CLIP to Out-of-Distributions" (ICML 2023), https://arxiv.org/abs/2302.00864
  ☆63Updated last year
• ShuvenduRoy / CoPrompt
  [ICLR'24] Consistency-guided Prompt Learning for Vision-Language Models
  ☆66Updated 8 months ago
• sangrokleeeeee / DAC
  (CVPR2023) official code of Decompose, Adjust, Compose: Effective Normalization by Playing with Frequency for Domain Generalization
  ☆29Updated last year
• AtsuMiyai / Awesome-OOD-VLM
  Generalized Out-of-Distribution Detection and Beyond in Vision Language Model Era: A Survey [Miyai+, arXiv2024]
  ☆82Updated 3 weeks ago
• ZjjConan / VLM-MultiModalAdapter
  The official pytorch implemention of our CVPR-2024 paper "MMA: Multi-Modal Adapter for Vision-Language Models".
  ☆51Updated 3 weeks ago
• TL-UESTC / DAMP
  The Pytorch implementation of Domain-Agnostic Mutual Prompting for Unsupervised Domain Adaptation
  ☆26Updated 8 months ago
• KU-VGI / PriViLege
  [CVPR 2024] PriViLege: Pre-trained Vision and Language Transformers Are Few-Shot Incremental Learners
  ☆47Updated 5 months ago
• Gank0078 / FineSSL
  Pytorch implementation for "Erasing the Bias: Fine-Tuning Foundation Models for Semi-Supervised Learning" (ICML 2024)
  ☆16Updated 3 weeks ago
• gaozhengqing / UniEnt
  PyTorch implementation of our CVPR 2024 paper "Unified Entropy Optimization for Open-Set Test-Time Adaptation"
  ☆20Updated 5 months ago
• Koorye / DePT
  [CVPR 2024] Offical implemention of the paper "DePT: Decoupled Prompt Tuning"
  ☆90Updated 3 months ago
• liangyanshuo / InfLoRA
  The official implementation of the CVPR'2024 work Interference-Free Low-Rank Adaptation for Continual Learning
  ☆60Updated 4 months ago
• linlany / RAPF
  ☆32Updated 2 months ago
• elaine-sui / TPS
  ☆16Updated 4 months ago
• shuolucs / Awesome-Out-Of-Distribution-Detection
  A curated list of awesome out-of-distribution detection resources.
  ☆32Updated last month