nupurkmr9 / S2M2_fewshotView external linksLinks
☆116Jan 19, 2021Updated 5 years ago
Alternatives and similar repositories for S2M2_fewshot
Users that are interested in S2M2_fewshot are comparing it to the libraries listed below
Sorting:
- Code for 'Leveraging the Feature Distribution in Transfer-based Few-Shot Learning'☆217Oct 3, 2023Updated 2 years ago
- [ICLR2021 Oral] Free Lunch for Few-Shot Learning: Distribution Calibration☆475Nov 19, 2021Updated 4 years ago
- The code repository for "Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions"☆433Jul 31, 2020Updated 5 years ago
- This repository contains the code for Instance Credibility Inference (ICI).☆85Jun 7, 2021Updated 4 years ago
- ☆91Mar 21, 2022Updated 3 years ago
- PyTorch implementation of “Negative Margin Matters: Understanding Margin in Few-shot Classification”☆151Feb 20, 2021Updated 4 years ago
- ☆132Mar 4, 2021Updated 4 years ago
- Code of Cross Attention Network for Few-shot Classification (NeurIPS 2019).☆217Sep 3, 2020Updated 5 years ago
- source code to ICLR'19, 'A Closer Look at Few-shot Classification'☆1,159Dec 14, 2021Updated 4 years ago
- Codebase for Embedding Propagation: Smoother Manifold for Few-Shot Classification. This is a ServiceNow Research project that was started…☆212Jun 27, 2022Updated 3 years ago
- Code for paper "DeepEMD: Few-Shot Image Classification with Differentiable Earth Mover's Distance and Structured Classifiers", CVPR2020☆603Nov 15, 2022Updated 3 years ago
- Boosting Few-Shot Visual Learning with Self-Supervision☆138Dec 19, 2019Updated 6 years ago
- Leaderboards for few-shot image classification on miniImageNet, tieredImageNet, FC100, and CIFAR-FS.☆391Nov 22, 2022Updated 3 years ago
- (NeurIPS 2020) Transductive Information Maximization for Few-Shot Learning https://arxiv.org/abs/2008.11297☆123May 23, 2023Updated 2 years ago
- The official implementation of paper "Unsupervised Few-Shot Learning via Distribution Shift-based Augmentation"☆26Apr 23, 2022Updated 3 years ago
- Pytorch Code for ICLR19 paper: Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning.☆177Jul 26, 2021Updated 4 years ago
- ☆15Mar 9, 2022Updated 3 years ago
- Meta-Learning with Differentiable Convex Optimization (CVPR 2019 Oral)☆543Jul 25, 2024Updated last year
- Ensembles of CNNs for few-shot image classification☆53Jan 29, 2021Updated 5 years ago
- A non-official 100% PyTorch implementation of META-DATASET benchmark for few-shot classification☆60Jan 6, 2023Updated 3 years ago
- Alleviating the Sample Selection Bias in Few-shot Learning by Removing Projection to the Centroid☆15Dec 6, 2022Updated 3 years ago
- [CVPR 2020] DPGN: Distribution Propagation Graph Network for Few-shot Learning.☆178Jul 25, 2024Updated last year
- The implementation of https://papers.nips.cc/paper/7352-tadam-task-dependent-adaptive-metric-for-improved-few-shot-learning . TADAM is a …☆107Jun 20, 2022Updated 3 years ago
- Pytorch code of "Revisiting Local Descriptor based Image-to-Class Measure for Few-shot Learning", CVPR 2019.☆202Jun 20, 2023Updated 2 years ago
- Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation (ICLR 2020 spotlight)☆351Apr 12, 2020Updated 5 years ago
- Collect and Select: Semantic Alignment Metric Learning for Few-shot Learning☆20Dec 24, 2019Updated 6 years ago
- The original code for the paper "Benchmarks for Continual Few-Shot Learning".☆36Aug 18, 2020Updated 5 years ago
- Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning, in ICCV 2021☆651Oct 10, 2021Updated 4 years ago
- ☆524Jul 5, 2021Updated 4 years ago
- SKD : Self-supervised Knowledge Distillation for Few-shot Learning☆102Oct 3, 2023Updated 2 years ago
- Code for Paper "Incremental Few-Shot Learning with Attention Attractor Networks"☆121Mar 19, 2020Updated 5 years ago
- Few shot learning☆157Aug 10, 2021Updated 4 years ago
- Code for paper "Attentive Weights Generation for Few Shot Learning via Information Maximization"☆17Jul 11, 2020Updated 5 years ago
- Learning Intact Features by Erasing-Inpainting for Few-shot Classification☆18Jul 28, 2022Updated 3 years ago
- NeurIPS 2019 : Learning to Propagate for Graph Meta-Learning☆36Jan 11, 2020Updated 6 years ago
- ☆11Oct 8, 2020Updated 5 years ago
- Meta Learning for Semi-Supervised Few-Shot Classification☆569Jun 26, 2019Updated 6 years ago
- Pytorch implementation of Meta-Learned Confidence for Few-shot Learning☆71Jan 24, 2021Updated 5 years ago
- Tools for generating tieredImageNet dataset and processing batches☆78Dec 15, 2020Updated 5 years ago