Alternatives and similar repositories for f-clswgan_pytorch

Users that are interested in f-clswgan_pytorch are comparing it to the libraries listed below

• Runist / torch_maml
  Very simple pytorch maml implement
  ☆129Updated last year
• rucmlcv / IEPT_FSL
  ☆34Updated 4 years ago
• saketd403 / CROSR
  PyTorch implementation for "Classification-Reconstruction Learning for Open-Set Recognition" CVPR 2019.
  ☆57Updated 3 years ago
• ma-xu / Open-Set-Recognition
  Open Set Recognition
  ☆172Updated 4 years ago
• driptaRC / DECISION
  Unsupervised Multi-source Domain Adaptation Without Access to Source Data (CVPR '21 Oral)
  ☆58Updated 3 years ago
• cht619 / MADA
  Implementation of Multi-Adversarial Domain Adaptation (https://arxiv.org/abs/1809.02176) in Pytorch
  ☆18Updated 4 years ago
• cvl-umass / fsl-ssl
  Code for "When Does Self-supervision Improve Few-shot Learning?" @ ECCV 2020
  ☆35Updated 4 years ago
• tim-learn / SHOT
  code released for our ICML 2020 paper "Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Ad…
  ☆472Updated last year
• ThomasWestfechtel / GSDE
  Gradual Source Domain Expansion for Unsupervised Domain Adaptation
  ☆13Updated 4 months ago
• xyzedd / CSSR
  [TPAMI2022] Class Specific Semantic Reconstruction for Open Set Recognition
  ☆55Updated last year
• phecy / SSL-FEW-SHOT
  SSL-FEW-SHOT
  ☆17Updated 5 years ago
• junkunyuan / Awesome-Domain-Generalization
  Awesome things about domain generalization, including papers, code, etc.
  ☆488Updated 6 months ago
• siavash-khodadadeh / UMTRA-Release
  Unsupervised Meta Learning for Image Classification (UMTRA) algorithm
  ☆21Updated 2 years ago
• Jityan / SCLfewshot
  The code for "SCL: Self-supervised contrastive learning for few-shot image classification"
  ☆17Updated last year
• Jityan / sslprotonet
  Code Repository for "SSL-ProtoNet: Self-supervised Learning Prototypical Networks for few-shot learning"
  ☆26Updated last year
• ngailapdi / LWF
  Implementation of Learning without Forgetting paper
  ☆134Updated 4 years ago
• Fei-Long121 / DeepBDC
  The Pytorch code of "Joint Distribution Matters: Deep Brownian Distance Covariance for Few-Shot Classification", CVPR 2022 (Oral).
  ☆184Updated last year
• MetaVisionLab / SSDG
  Semi-Supervised Domain Generalization
  ☆23Updated last year
• 67catl / open_set_recognition_survey
  ☆14Updated last year
• mousecpn / MMD_AAE_PyTorch
  This is the unofficial PyTorch implementation of Domain Generalization with Adversarial Feature Learning.
  ☆19Updated 3 years ago
• 00why00 / Glocal
  [CVPR 2023] Glocal Energy-based Learning for Few-Shot Open-Set Recognition
  ☆43Updated 2 years ago
• XJTU-XGU / Adversarial-Reweighting-for-Partial-Domain-Adaptation
  Code for Adversarial Reweighting for Partial Domain Adaptation (NeurIPS 2021)
  ☆35Updated 2 years ago
• kkkkkkon / D-MCD
  code for Denoised_Maximum_Classifier_Discrepancy_for_Source-Free_Unsupervised_Domain_Adaptation
  ☆20Updated 3 years ago
• PRIS-CV / Bi-FRN
  Code release for Bi-Directional Feature Reconstruction Network for Fine-grained Few-shot Image Classification
  ☆63Updated 2 years ago
• Haoqing-Wang / CDFSL-ATA
  [IJCAI 2021 & AIJ 2023] Cross-Domain Few-Shot Classification via Adversarial Task Augmentation
  ☆70Updated 2 years ago
• zhangbq-research / Prototype_Completion_for_FSL
  ☆58Updated 3 years ago
• iCGY96 / ARPL
  [TPAMI 2022] Adversarial Reciprocal Points Learning for Open Set Recognition
  ☆183Updated 2 years ago
• hackmebroo / CCFP
  ICCV 2023
  ☆11Updated last year
• Frankluox / CloserLookAgainFewShot
  [ICML 2023] A Closer Look at Few-shot Classification Again
  ☆59Updated 2 years ago
• astuti / ILA-DA
  ☆24Updated 4 years ago