Alternatives and similar repositories for CUTI-Domain

Users that are interested in CUTI-Domain are comparing it to the libraries listed below

• UCSC-VLAA / EVP
  [TMLR'24] This repository includes the official implementation our paper "Unleashing the Power of Visual Prompting At the Pixel Level"
  ☆41Updated last year
• SHI-Labs / Diffusion-Driven-Test-Time-Adaptation-via-Synthetic-Domain-Alignment
  Everything to the Synthetic: Diffusion-driven Test-time Adaptation via Synthetic-Domain Alignment, arXiv 2024 / CVPR 2025
  ☆27Updated 2 months ago
• zhyblue424 / TGA-ZSR
  (NeurIPS 2024)Text-Guided Attention is All You Need for Zero-Shot Robustness in Vision-Language Models
  ☆11Updated 2 months ago
• jmiemirza / LaFTer
  LaFTer: Label-Free Tuning of Zero-shot Classifier using Language and Unlabeled Image Collections (NeurIPS 2023)
  ☆29Updated last year
• MediaBrain-SJTU / OC_LT
  Official code base for "Long-Tailed Diffusion Models With Oriented Calibration" ICLR2024
  ☆12Updated 10 months ago
• chunmeifeng / DiffTPT
  【ICCV 2023】Diverse Data Augmentation with Diffusions for Effective Test-time Prompt Tuning & 【IJCV 2025】Diffusion-Enhanced Test-time Adap…
  ☆63Updated 4 months ago
• mingukjang / TAST
  Test-time adaptation via Nearest neighbor information (TAST), submitted to ICLR'23
  ☆22Updated last year
• zhengzangw / DoPrompt
  Official implementation of PCS in essay "Prompt Vision Transformer for Domain Generalization"
  ☆51Updated 2 years ago
• zhangce01 / DPE-CLIP
  [NeurIPS 2024] Code for Dual Prototype Evolving for Test-Time Generalization of Vision-Language Models
  ☆40Updated 2 months ago
• rain305f / TIDA
  [NeurIPS 2023] Discover and Align Taxonomic Context Priors for Open-world Semi-Supervised Learning
  ☆16Updated last year
• htyao89 / Textual-based_Class-aware_prompt_tuning
  ☆24Updated last year
• AtsuMiyai / GL-MCM
  [IJCV2025] https://arxiv.org/abs/2304.04521
  ☆14Updated 3 months ago
• BIT-DA / DUSA
  [NeurIPS 2024] Exploring Structured Semantic Priors Underlying Diffusion Score for Test-time Adaptation
  ☆15Updated 2 months ago
• vanillaer / CPL-ICML2024
  [ICML 2024] Offical code repo for ICML2024 paper "Candidate Pseudolabel Learning: Enhancing Vision-Language Models by Prompt Tuning with …
  ☆26Updated 10 months ago
• YBZh / OpenOOD-VLM
  ECCV24, NeurIPS24, Benchmarking Generalized Out-of-Distribution Detection with Vision-Language Models
  ☆23Updated 4 months ago
• XueJiang16 / NegLabel
  [ICLR 2024 Spotlight] "Negative Label Guided OOD Detection with Pretrained Vision-Language Models"
  ☆26Updated 6 months ago
• muliyangm / BYOP
  Code for BYOP (CVPR 2023)
  ☆10Updated last year
• tim-learn / UEO
  ICML-2024 highlight paper "Realistic Unsupervised CLIP Fine-tuning with Universal Entropy Optimization"
  ☆15Updated 10 months ago
• idstcv / InMaP
  PyTorch Implementation for InMaP
  ☆11Updated last year
• JianhongBai / BaCon
  Official implementation of "Towards Distribution-Agnostic Generalized Category Discovery" (NIPS 2023)
  ☆25Updated last year
• elaine-sui / TPS
  ☆17Updated 7 months ago
• ycfate / ID-like
  ID-like Prompt Learning for Few-Shot Out-of-Distribution Detection
  ☆23Updated last year
• spetryk / GALS
  ☆13Updated 2 years ago
• thuml / CLIPood
  About Code Release for "CLIPood: Generalizing CLIP to Out-of-Distributions" (ICML 2023), https://arxiv.org/abs/2302.00864
  ☆66Updated last year
• DongSky / LPT
  ☆53Updated 2 years ago
• Cyang-Zhao / Grad-Eclip
  ☆38Updated this week
• OPTML-Group / ILM-VP
  [CVPR23] "Understanding and Improving Visual Prompting: A Label-Mapping Perspective" by Aochuan Chen, Yuguang Yao, Pin-Yu Chen, Yihua Zha…
  ☆53Updated last year
• HotanLee / DeFT
  The official implementation for paper: Vision-Language Models are Strong Noisy Label Detectors
  ☆15Updated last month
• Gank0078 / FineSSL
  Pytorch implementation for "Erasing the Bias: Fine-Tuning Foundation Models for Semi-Supervised Learning" (ICML 2024)
  ☆18Updated this week
• bupt-ai-cz / ProML
  code for "Semi-supervised Domain Adaptation via Prototype-based Multi-level Learning"
  ☆15Updated last year