mboudiaf / pytorch-meta-dataset
A non-official 100% PyTorch implementation of META-DATASET benchmark for few-shot classification
☆59Updated last year
Related projects ⓘ
Alternatives and complementary repositories for pytorch-meta-dataset
- Universal Representation Learning from Multiple Domains for Few-shot Classification - ICCV 2021, Cross-domain Few-shot Learning with Task…☆126Updated 8 months ago
- Tools for generating tieredImageNet dataset and processing batches☆76Updated 3 years ago
- "Exploring Complementary Strengths of Invariant and Equivariant Representations for Few-Shot Learning" by Mamshad Nayeem Rizve, Salman Kh…☆37Updated last year
- Official implementation of the paper "Rethinking Generalization in Few-Shot Classification" [NeurIPS 2022]☆56Updated last year
- Few-shot learning with mislabeled support samples☆39Updated last year
- PyTorch implementation of "How to Train Your MAML to Excel in Few-Shot Classification"☆38Updated 4 months ago
- ☆25Updated 3 years ago
- ☆63Updated 2 years ago
- Spatial Contrastive Learning for Few-Shot Classification (ECML/PKDD 2021).☆49Updated last year
- ☆28Updated 3 years ago
- Code for the ICLR2022 paper on Subspace Regularization for few-shot class incremental image classification☆27Updated last year
- [ICCV'21] Official PyTorch implementation of Relational Embedding for Few-Shot Classification☆114Updated 2 years ago
- (NeurIPS 2022) Understanding Cross-Domain Few-Shot Learning Based on Domain Similarity and Few-Shot Difficulty☆29Updated 8 months ago
- Source codes for "Improved Few-Shot Visual Classification" (CVPR 2020), "Enhancing Few-Shot Image Classification with Unlabelled Examples…☆56Updated 2 years ago
- ☆58Updated 2 years ago
- ☆25Updated 3 years ago
- (CVPR 2022) Energy-based Latent Aligner for Incremental Learning☆49Updated last year
- (NeurIPS 2020 Workshop on SSL) Official Implementation of "MixCo: Mix-up Contrastive Learning for Visual Representation"☆58Updated last year
- This is a public repository for:☆38Updated 3 years ago
- Official PyTorch implementation of "Meta-Learning with Task-Adaptive Loss Function for Few-Shot Learning" (ICCV2021 Oral)☆62Updated 2 years ago
- PyTorch implementation of our Adam-NSCL algorithm from our CVPR2021 (oral) paper "Training Networks in Null Space for Continual Learning"☆51Updated 3 years ago
- Code for the paper "Selecting Relevant Features from a Universal Representation for Few-shot Classification"☆41Updated 3 years ago
- Pytorch codes for NeurIPS 2021 paper titled "Dynamic Distillation Network for Cross-Domain Few-Shot Recognition with Unlabeled Data".☆28Updated 2 years ago
- Co^2L: Contrastive Continual Learning (ICCV2021)☆90Updated 2 years ago
- Official implementation of NNCSL☆22Updated 6 months ago
- LightningFSL: Pytorch-Lightning implementations of Few-Shot Learning models.☆107Updated last year
- Official PyTorch Implementation of "CoSSL: Co-Learning of Representation and Classifier for Imbalanced Semi-Supervised Learning" (CVPR 20…☆51Updated 2 years ago
- Official implementation of "iTAML : An Incremental Task-Agnostic Meta-learning Approach". CVPR 2020☆95Updated last year
- Official repository of the paper 'Essentials for Class Incremental Learning'☆40Updated 3 years ago
- Source codes for "Improved Few-Shot Visual Classification" (CVPR 2020), "Enhancing Few-Shot Image Classification with Unlabelled Examples…☆116Updated last year