mboudiaf / pytorch-meta-datasetLinks
A non-official 100% PyTorch implementation of META-DATASET benchmark for few-shot classification
☆59Updated 2 years ago
Alternatives and similar repositories for pytorch-meta-dataset
Users that are interested in pytorch-meta-dataset are comparing it to the libraries listed below
Sorting:
- Code for the ICLR2022 paper on Subspace Regularization for few-shot class incremental image classification☆30Updated 2 years ago
- "Exploring Complementary Strengths of Invariant and Equivariant Representations for Few-Shot Learning" by Mamshad Nayeem Rizve, Salman Kh…☆38Updated 2 years ago
- Universal Representation Learning from Multiple Domains for Few-shot Classification - ICCV 2021, Cross-domain Few-shot Learning with Task…☆136Updated last year
- Tools for generating tieredImageNet dataset and processing batches☆78Updated 4 years ago
- ☆27Updated 3 years ago
- ☆29Updated 3 years ago
- Source codes for "Improved Few-Shot Visual Classification" (CVPR 2020), "Enhancing Few-Shot Image Classification with Unlabelled Examples…☆58Updated 2 years ago
- (CVPR 2022) Energy-based Latent Aligner for Incremental Learning☆50Updated 2 years ago
- Few-shot learning with mislabeled support samples☆43Updated 2 years ago
- Co^2L: Contrastive Continual Learning (ICCV2021)☆96Updated 3 years ago
- This is a public repository for:☆38Updated 3 years ago
- Official repository for the paper "Self-Supervised Models are Continual Learners" (CVPR 2022)☆124Updated 2 years ago
- [ICCV 2023 Oral] Official PyTorch implementation of our paper for semi-supervised continual learning "A soft nearest-neighbor framework f…☆23Updated 6 months ago
- Spatial Contrastive Learning for Few-Shot Classification (ECML/PKDD 2021).☆48Updated 2 years ago
- [ICLR 2023] The official code for our ICLR 2023 (top25%) paper: "Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class…☆90Updated last year
- [ICCV'21] Official PyTorch implementation of Relational Embedding for Few-Shot Classification☆119Updated 3 years ago
- Official implementation of the paper "Rethinking Generalization in Few-Shot Classification" [NeurIPS 2022]☆63Updated 2 years ago
- (NeurIPS 2022) Understanding Cross-Domain Few-Shot Learning Based on Domain Similarity and Few-Shot Difficulty☆34Updated last year
- ☆26Updated 4 years ago
- [CVPR 2023] Learning with Fantasy: Semantic-Aware Virtual Contrastive Constraint for Few-Shot Class-Incremental Learning☆71Updated last year
- (NeurIPS 2020 Workshop on SSL) Official Implementation of "MixCo: Mix-up Contrastive Learning for Visual Representation"☆58Updated 2 years ago
- Official PyTorch implementation of "Meta-Learning with Task-Adaptive Loss Function for Few-Shot Learning" (ICCV2021 Oral)☆64Updated 3 years ago
- ☆64Updated 3 years ago
- (NeurIPS 2021) Realistic Evaluation of Transductive Few-Shot Learning☆24Updated 2 years ago
- ☆61Updated 3 years ago
- List of papers that combine self-supervision and continual learning☆65Updated 3 months ago
- Code for the paper "Selecting Relevant Features from a Universal Representation for Few-shot Classification"☆41Updated 4 years ago
- LightningFSL: Pytorch-Lightning implementations of Few-Shot Learning models.☆112Updated 2 years ago
- ☆34Updated 2 years ago
- PyTorch code for the ICCV'21 paper: "Always Be Dreaming: A New Approach for Class-Incremental Learning"☆64Updated 2 years ago