moukamisama / F2M

Related projects ⓘ

Alternatives and complementary repositories for F2M

• chaht01 / Co2L
  Co^2L: Contrastive Continual Learning (ICCV2021)
  ☆90Updated 2 years ago
• kminsoo / AFC
  ☆53Updated 2 years ago
• Impression2805 / CVPR21_PASS
  PyTorch implementation of our CVPR2021 (oral) paper "Prototype Augmentation and Self-Supervision for Incremental Learning"
  ☆105Updated last year
• hongjoon0805 / SS-IL-Official
  ☆35Updated 3 years ago
• JoyHuYY1412 / DDE_CIL
  ☆58Updated 2 years ago
• divyam3897 / UCL
  Code for the paper "Representational Continuity for Unsupervised Continual Learning" (ICLR 22)
  ☆94Updated last year
• CanPeng123 / FSCIL_ALICE
  ☆28Updated last year
• mpourkeshavarz / Cost-Free-Incremental-Learning
  ☆22Updated 2 years ago
• Impression2805 / IL2A
  PyTorch implementation of our NeurIPS 2021 paper "Class-Incremental Learning via Dual Augmentation"
  ☆33Updated 2 years ago
• zhoudw-zdw / CVPR22-Fact
  Forward Compatible Few-Shot Class-Incremental Learning (CVPR'22)
  ☆118Updated last year
• wangkiw / ICLR23-MEMO
  The code repository for "A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental Learning" (ICLR'23) in PyTorch
  ☆39Updated last year
• feyzaakyurek / subspace-reg
  Code for the ICLR2022 paper on Subspace Regularization for few-shot class incremental image classification
  ☆27Updated last year
• Mattdl / ContinualPrototypeEvolution
  Codebase for Continual Prototype Evolution (CoPE) to attain perpetually representative prototypes for online and non-stationary datastrea…
  ☆43Updated 2 years ago
• zhoudw-zdw / TPAMI-Limit
  The code repository for "Few-Shot Class-Incremental Learning by Sampling Multi-Phase Tasks" (TPAMI 2023) in PyTorch.
  ☆35Updated last year
• Han-Jia / UNICORN-MAML
  PyTorch implementation of "How to Train Your MAML to Excel in Few-Shot Classification"
  ☆39Updated 4 months ago
• VisionLearningGroup / OP_Match
  ☆58Updated last year
• Zoilsen / CLOM
  ☆11Updated last year
• Kthyeon / FINE_official
  NeurIPS 2021, "Fine Samples for Learning with Noisy Labels"
  ☆38Updated 2 years ago
• gydpku / OCM
  ☆29Updated last year
• bigdata-inha / Split-and-Bridge
  (AAAI 2021) Split-and-Bridge: Adaptable Class Incremental Learning within a Single Neural Network
  ☆24Updated 3 years ago
• xfflzl / CIM-CIL
  Code Implementation for CVPR 2023 Paper: Class-Incremental Exemplar Compression for Class-Incremental Learning
  ☆24Updated last year
• yulu0724 / SDC-IL
  Semantic Drift Compensation for Class-Incremental Learning (CVPR2020)
  ☆118Updated 4 years ago
• danruod / FS-DGPM
  Code for NeurIPS 2021 paper "Flattening Sharpness for Dynamic Gradient Projection Memory Benefits Continual Learning".
  ☆16Updated 3 years ago
• WuYichen-97 / Learning-to-Purify-Noisy-Labels-via-Meta-Soft-Label-Corrector
  [AAAI 21] Utilizing meta-learning to correct the noisy labels.
  ☆13Updated 3 years ago
• zhukaii / SSRE
  Code for "Self-Sustaining Representation Expansion for Non-Exemplar Class-Incremental Learning"
  ☆19Updated 2 years ago
• DonkeyShot21 / cassle
  Official repository for the paper "Self-Supervised Models are Continual Learners" (CVPR 2022)
  ☆118Updated 2 years ago
• sangwon-jung94 / AGS-CL
  ☆19Updated 4 years ago
• GT-RIPL / AlwaysBeDreaming-DFCIL
  PyTorch code for the ICCV'21 paper: "Always Be Dreaming: A New Approach for Class-Incremental Learning"
  ☆60Updated 2 years ago
• phquang / DualNet
  ☆63Updated 2 years ago
• ShikunLi / Sel-CL
  CVPR 2022: Selective-Supervised Contrastive Learning with Noisy Labels
  ☆91Updated 2 years ago