Alternatives and similar repositories for ProtoDiff

Users that are interested in ProtoDiff are comparing it to the libraries listed below

• hamanhbui / mDSDI
  Exploiting Domain-Specific Features to Enhance Domain Generalization (NeurIPS 2021).
  ☆29Updated 3 years ago
• alinlab / PsCo
  Unsupervised Meta-Learning via Few-shot Pseudo-supervised Contrastive Learning (ICLR 2023)
  ☆57Updated last year
• Haoqing-Wang / CPNWCP
  [ECCV 2022] Contrastive Prototypical Network with Wasserstein Confidence Penalty
  ☆11Updated 3 years ago
• youthhoo / AFA_For_Few_shot_learning
  ☆21Updated 3 years ago
• lovelyqian / StyleAdv-CDFSL
  Repository for the CVPR-2023 paper : StyleAdv: Meta Style Adversarial Training for Cross-Domain Few-Shot Learning
  ☆64Updated 8 months ago
• HL-hanlin / SMKD
  Code implementation for the paper: Supervised Masked Knowledge Distillation for Few-Shot Transformers
  ☆43Updated 2 years ago
• kunzhan / InfoMatch
  IJCAI 2024, InfoMatch: Entropy neural estimation for semi-supervised image classification
  ☆31Updated last year
• Gank0078 / ACR
  Pytorch implementation for "Towards Realistic Long-Tailed Semi-Supervised Learning: Consistency Is All You Need" (CVPR 2023)
  ☆71Updated 2 years ago
• chenghao-ch94 / AGNN
  [MIPR 2022 & TMM 2023] "Attentive Graph Neural Networks for Few-shot Learning" with its extension version
  ☆16Updated 2 years ago
• changwxx / CSOT-for-LNL
  Source code for the NeurIPS 2023 paper: "CSOT: Curriculum and Structure-Aware Optimal Transport for Learning with Noisy Labels"
  ☆19Updated 2 years ago
• Haoqing-Wang / CDFSL-ATA
  [IJCAI 2021 & AIJ 2023] Cross-Domain Few-Shot Classification via Adversarial Task Augmentation
  ☆71Updated 3 years ago
• Haoqing-Wang / InfoCL
  [CVPR 2022 Oral] Rethinking Minimal Sufficient Representation in Contrastive Learning
  ☆70Updated 2 years ago
• Chumsy0725 / FBC-SA
  Official Repository for "Towards Generalizing to Unseen Domains with Few Labels". (CVPR-24)
  ☆24Updated last year
• Hzzone / TCL
  Twin Contrastive Learning with Noisy Labels (CVPR 2023)
  ☆74Updated 2 years ago
• Liuhong99 / CST
  Code release for "Cycle Self-Training for Domain Adaptation" (NeurIPS 2021)
  ☆53Updated 4 years ago
• sungnyun / understanding-cdfsl
  (NeurIPS 2022) Understanding Cross-Domain Few-Shot Learning Based on Domain Similarity and Few-Shot Difficulty
  ☆33Updated last year
• shiming-chen / MSDN
  Official PyTorch Implementation of MSDN (CVPR'22)
  ☆54Updated 3 years ago
• feyzaakyurek / subspace-reg
  Code for the ICLR2022 paper on Subspace Regularization for few-shot class incremental image classification
  ☆30Updated 2 years ago
• nayeemrizve / TRSSL
  "Towards Realistic Semi-Supervised Learning" by Mamshad Nayeem Rizve, Navid Kardan, Mubarak Shah (ECCV 2022)
  ☆41Updated 2 years ago
• tim-learn / DINE
  code for our CVPR 2022 paper "DINE: Domain Adaptation from Single and Multiple Black-box Predictors"
  ☆82Updated last year
• chenghao-ch94 / DFRFS
  [TNNLS 2023] Disentangled Feature Representation for Few-shot Image Classification
  ☆26Updated last year
• Albert0147 / AaD_SFDA
  Code for our NeurIPS 2022 (spotlight) paper 'Attracting and Dispersing: A Simple Approach for Source-free Domain Adaptation'
  ☆73Updated last year
• SCUT-AILab / CPGA
  ☆49Updated 2 years ago
• SiLangWHL / vMF-OP
  ☆15Updated 3 years ago
• koncle / DomainAdaptor
  ☆45Updated 2 years ago
• BIT-DA / SCDA
  [ICCV 2021] Code release for "Semantic Concentration for Domain adaptation"
  ☆22Updated 4 years ago
• korawat-tanwisuth / Proto_DA
  ☆51Updated 4 years ago
• nukezil / IOMatch
  [ICCV 2023 Oral] IOMatch: Simplifying Open-Set Semi-Supervised Learning with Joint Inliers and Outliers Utilization
  ☆55Updated 2 years ago
• muse1998 / Source-Free-Domain-Generalization
  An open-world scenario domain generalization code base
  ☆27Updated 2 years ago
• WentaoChen0813 / SemanticPrompt
  ☆42Updated 2 years ago