Alternatives and similar repositories for AutoNovel:

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

• k-han / DTC
  "Learning to Discover Novel Visual Categories via Deep Transfer Clustering" by Kai Han, Andrea Vedaldi, Andrew Zisserman (ICCV 2019)
  ☆161Updated 2 years ago
• DonkeyShot21 / UNO
  Official implementation of "A Unified Objective for Novel Class Discovery", ICCV2021 (Oral)
  ☆146Updated 2 years ago
• mileyan / simple_shot
  ☆132Updated 3 years ago
• bl0 / negative-margin.few-shot
  PyTorch implementation of “Negative Margin Matters: Understanding Margin in Few-shot Classification”
  ☆148Updated 3 years ago
• google-research / remixmatch
  ☆130Updated 2 years ago
• yue-zhongqi / gcm-cf
  [CVPR 2021] Released code for Counterfactual Zero-Shot and Open-Set Visual Recognition
  ☆157Updated 3 years ago
• brjathu / iTAML
  Official implementation of "iTAML : An Incremental Task-Agnostic Meta-learning Approach". CVPR 2020
  ☆96Updated last year
• zhunzhong07 / NCL
  Neighborhood Contrastive Learning for Novel Class Discovery, CVPR 2021
  ☆73Updated 2 years ago
• valeoai / BF3S
  Boosting Few-Shot Visual Learning with Self-Supervision
  ☆137Updated 5 years ago
• IBM / cdfsl-benchmark
  (ECCV 2020) Cross-Domain Few-Shot Learning Benchmarking System
  ☆226Updated 4 years ago
• LiJunnan1992 / MLNT
  Meta-Learning based Noise-Tolerant Training
  ☆123Updated 4 years ago
• szq0214 / Un-Mix
  Un-Mix: Rethinking Image Mixtures for Unsupervised Visual Representation Learning.
  ☆150Updated 2 years ago
• chrysts / dsn_fewshot
  ☆90Updated 2 years ago
• AlanChou / Truncated-Loss
  PyTorch implementation of the paper "Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels" in NIPS 2018
  ☆125Updated 5 years ago
• brjathu / SKD
  SKD : Self-supervised Knowledge Distillation for Few-shot Learning
  ☆96Updated last year
• peisuke / MomentumContrast.pytorch
  Reproduction of Momentum Contrast for Unsupervised Visual Representation Learning
  ☆120Updated 6 months ago
• linusericsson / ssl-transfer
  Official code for the CVPR 2021 paper "How Well Do Self-Supervised Models Transfer?"
  ☆183Updated last year
• ahmetius / LP-DeepSSL
  Code for CVPR 2019 paper Label Propagation for Deep Semi-supervised Learning
  ☆116Updated 4 years ago
• srebuffi / residual_adapters
  ☆170Updated 4 years ago
• hendrycks / ss-ood
  Self-Supervised Learning for OOD Detection (NeurIPS 2019)
  ☆266Updated 3 years ago
• yulu0724 / SDC-IL
  Semantic Drift Compensation for Class-Incremental Learning (CVPR2020)
  ☆119Updated 4 years ago
• hankook / SLA
  Self-supervised Label Augmentation via Input Transformations (ICML 2020)
  ☆104Updated 4 years ago
• salesforce / MoPro
  MoPro: Webly Supervised Learning
  ☆87Updated 3 years ago
• xingruiyu / coteaching_plus
  ICML'19 How does Disagreement Help Generalization against Label Corruption?
  ☆82Updated 5 years ago
• liulu112601 / URT
  ICLR 2021: A Universal Representation Transformer Layer for Few-Shot Image Classification
  ☆104Updated 3 years ago
• uvavision / Curriculum-Labeling
  [AAAI 2021] Curriculum Labeling: Revisiting Pseudo-Labeling for Semi-Supervised Learning
  ☆137Updated 4 years ago
• chingyaoc / DCL
  NeurIPS 2020, Debiased Contrastive Learning
  ☆282Updated last year
• ServiceNow / embedding-propagation
  Codebase for Embedding Propagation: Smoother Manifold for Few-Shot Classification. This is a ServiceNow Research project that was started…
  ☆209Updated 2 years ago
• WangYueFt / rfs
  ☆370Updated 4 years ago
• EricArazo / PseudoLabeling
  Official implementation of "Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning"
  ☆153Updated 4 years ago