Alternatives and similar repositories for continual-mae

Users that are interested in continual-mae are comparing it to the libraries listed below

• SakurajimaMaiii / TSD
  [CVPR 2023] Feature Alignment and Uniformity for Test Time Adaptation
  ☆48Updated 6 months ago
• yunbeizhang / DPCore
  [ICML 2025] DPCore: Dynamic Prompt Coreset for Continual Test-Time Adaptation
  ☆23Updated last week
• yuanyige / tea
  [CVPR 2024] TEA: Test-time Energy Adaptation
  ☆71Updated last year
• Albert0147 / AaD_SFDA
  Code for our NeurIPS 2022 (spotlight) paper 'Attracting and Dispersing: A Simple Approach for Source-free Domain Adaptation'
  ☆73Updated 10 months ago
• jxhuang0508 / HCL
  <Model Adaptation: Historical Contrastive Learning for Unsupervised Domain Adaptation without Source Data> in NIPS 2021
  ☆50Updated 3 years ago
• hackmebroo / CCFP
  ICCV 2023
  ☆11Updated last year
• BaiShuanghao / Prompt-based-Distribution-Alignment
  [AAAI 2024] Prompt-based Distribution Alignment for Unsupervised Domain Adaptation
  ☆73Updated last year
• SiyuanYan1 / PLDG
  This repo is the official implementation of TMI2024 paper "Prompt-driven Latent Domain Generalization for Medical Image Classification".
  ☆22Updated last week
• mariodoebler / test-time-adaptation
  A repository and benchmark for online test-time adaptation.
  ☆249Updated 4 months ago
• Jhyun17 / CoWA-JMDS
  ☆25Updated 2 years ago
• zhyx12 / CRCo
  ☆34Updated 2 years ago
• MediaBrain-SJTU / FACT
  ☆188Updated 4 years ago
• Chen-Ziyang / VPTTA
  Code for [CVPR 2024] Each Test Image Deserves A Specific Prompt: Continual Test-Time Adaptation for 2D Medical Image Segmentation.
  ☆66Updated 10 months ago
• zhoujiahuan1991 / CVPR2024-FCS
  [CVPR2024] FCS: Feature Calibration and Separation for Non-Exemplar Class Incremental Learning
  ☆14Updated 6 months ago
• qinenergy / cotta
  [CVPR 2022] Official CoTTA Code for our paper Continual Test-Time Domain Adaptation
  ☆290Updated last year
• ShishuaiHu / ProSFDA
  Code for [Pattern Recognition] Prompt Learning based Source-free Domain Adaptation for Medical Image Segmentation.
  ☆28Updated 6 months ago
• zzzx1224 / Beyond-model-adaptation-at-test-time-Papers
  ☆43Updated 11 months ago
• MattiaLitrico / Guiding-Pseudo-labels-with-Uncertainty-Estimation-for-Source-free-Unsupervised-Domain-Adaptation
  Code for "Guiding-Pseudo-labels-with-Uncertainty-Estimation-for-Source-free-Unsupervised-Domain-Adaptation" (CVPR 2023)
  ☆100Updated 2 years ago
• mr-eggplant / SAR
  Code for ICLR 2023 paper (Oral) — Towards Stable Test-Time Adaptation in Dynamic Wild World
  ☆192Updated 2 years ago
• Matt-Su / DR-Adapter
  ☆18Updated last year
• Jhyun17 / DeYO
  ☆25Updated last year
• GuanGui-nju / SAA
  Code and Model For SAA
  ☆12Updated 2 years ago
• DawnLIU35 / FSCIL-ASP
  Official implementation of Few-shot Class Incremental Learning with Attention-Aware Self-Adaptive Prompt (ECCV2024)
  ☆33Updated last year
• xw1519 / Continual-Learning-Medical-Adaptation
  A Comprehensive Survey of Continual Learning in Medical Scenarios
  ☆17Updated last year
• huanranchen / ASRNorm
  a pytorch implement of Adversarially Adaptive Normalization for Single Domain Generalization
  ☆14Updated 2 years ago
• koncle / DomainAdaptor
  ☆44Updated 2 years ago
• jinyan-06 / SHIKE
  Long-Tailed Visual Recognition via Self-Heterogeneous Integration with Knowledge Excavation (CVPR 2023)
  ☆40Updated last year
• SUSI-Lab / Awesome-Continual-Test-Time-Adaptation
  ☆39Updated last year
• wangkaihong / CDAC
  Code for "CDAC: Cross-domain Attention Consistency in Transformer for Domain Adaptive Semantic Segmentation" at ICCV 2023.
  ☆19Updated 6 months ago
• TL-UESTC / DAMP
  The Pytorch implementation of Domain-Agnostic Mutual Prompting for Unsupervised Domain Adaptation
  ☆37Updated last year