Alternatives and similar repositories for DeepNCM

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

• xialeiliu / GFR-IL
  Generative Feature Replay For Class-Incremental Learning
  ☆37Updated 5 years ago
• yulu0724 / SDC-IL
  Semantic Drift Compensation for Class-Incremental Learning (CVPR2020)
  ☆119Updated 4 years ago
• sairin1202 / BIC
  pytorch implementation of Large Scale Incremental Learning
  ☆66Updated 4 years ago
• TKKim93 / APE
  [ECCV 2020] Attract, Perturb, and Explore: Learning a Feature Alignment Network for Semi-supervised Domain Adaptation
  ☆30Updated 4 years ago
• roysubhankar / dwt-domain-adaptation
  Code for paper "Unsupervised Domain Adaptation using Feature-Whitening and Consensus Loss" (CVPR 2019)
  ☆64Updated 4 years ago
• sshan-zhao / DG_via_ER
  Domain Generalization via Entropy Regularization, NeurIPS'20
  ☆65Updated 4 years ago
• HAHA-DL / Episodic-DG
  This is the repo for the paper "Episodic Training for Domain Generalization" https://arxiv.org/abs/1902.00113
  ☆57Updated last year
• chrysts / dsn_fewshot
  ☆91Updated 3 years ago
• BUserName / PGL
  ☆32Updated last year
• deep-real / M-ADA
  The Pytorch implementation for "Learning to Learn Single Domain Generalization" (CVPR 2020)
  ☆147Updated 4 years ago
• hshustc / CVPR19_Incremental_Learning
  Learning a Unified Classifier Incrementally via Rebalancing
  ☆190Updated 4 years ago
• GT-RIPL / AlwaysBeDreaming-DFCIL
  PyTorch code for the ICCV'21 paper: "Always Be Dreaming: A New Approach for Class-Incremental Learning"
  ☆63Updated 2 years ago
• youngryan1993 / SFDA-SourceFreeDA
  Published in IEEE Transactions on Artificial Intelligence
  ☆56Updated 3 years ago
• kibok90 / iccv2019-inc
  ICCV 2019 Overcoming Catastrophic Forgetting with Unlabeled Data in the Wild
  ☆80Updated 2 years ago
• silvia1993 / ROS
  Rotation-based Open Set
  ☆41Updated 2 years ago
• YooJiHyeong / CCSA_PyTorch
  PyTorch implementation of CCSA("Unified Deep Supervised Domain Adaptation and Generalization")
  ☆44Updated 6 years ago
• HAHA-DL / MLDG
  The demo code for the MLDG paper "Learning to Generalize: Meta-Learning for Domain Generalization", https://arxiv.org/abs/1710.03463, htt…
  ☆144Updated 6 years ago
• YuqiCui / MMD_AAE
  Code refactoring for paper "Domain Generalization with Adversarial Feature Learning" in VLCS datasets.
  ☆56Updated 5 years ago
• thuml / TransNorm
  Code release for "Transferable Normalization: Towards Improving Transferability of Deep Neural Networks" (NeurIPS 2019)
  ☆79Updated 4 years ago
• PatrickZH / End-to-End-Incremental-Learning
  Pytorch implementation of End-to-End Incremental Learning [2018 ECCV Castro]
  ☆64Updated 6 years ago
• tim-learn / SHOT-plus
  code for our TPAMI 2021 paper "Source Data-absent Unsupervised Domain Adaptation through Hypothesis Transfer and Labeling Transfer"
  ☆117Updated last year
• zhangweichen2006 / iCAN
  Collaborative and Adversarial Network for Unsupervised Domain Adaptation(iCAN)
  ☆34Updated 4 years ago
• abhinavagarwalla / swav-cifar10
  SwAV for CIFAR-10, adapted from https://github.com/facebookresearch/swav
  ☆28Updated 3 years ago
• Albert0147 / G-SFDA
  code for our ICCV 2021 paper 'Generalized Source-free Domain Adaptation'
  ☆105Updated 3 years ago
• bjsowa / LLDEN
  Lifelong Learning with Dynamically Expandable Networks
  ☆20Updated 7 years ago
• YU1ut / Ensemble-of-Leave-out-Classifiers
  Code for "Out-of-Distribution Detection Using an Ensemble of Self Supervised Leave-out Classifiers"
  ☆27Updated 3 years ago
• liyunsheng13 / DRT
  ☆67Updated 2 years ago
• zhunzhong07 / NCL
  Neighborhood Contrastive Learning for Novel Class Discovery, CVPR 2021
  ☆74Updated 2 years ago
• brjathu / iTAML
  Official implementation of "iTAML : An Incremental Task-Agnostic Meta-learning Approach". CVPR 2020
  ☆97Updated last year
• Gorilla-Lab-SCUT / SRDC-CVPR2020
  Code release for Unsupervised Domain Adaptation via Structurally Regularized Deep Clustering (CVPR2020-Oral).
  ☆81Updated 3 years ago