yhu01 / PT-MAPLinks
Code for 'Leveraging the Feature Distribution in Transfer-based Few-Shot Learning'
☆217Updated 2 years ago
Alternatives and similar repositories for PT-MAP
Users that are interested in PT-MAP are comparing it to the libraries listed below
Sorting:
- SSL-FEW-SHOT☆171Updated 5 years ago
- ☆375Updated 5 years ago
- (ECCV 2020) Cross-Domain Few-Shot Learning Benchmarking System☆235Updated 5 years ago
- ☆132Updated 4 years ago
- PyTorch implementation of “Negative Margin Matters: Understanding Margin in Few-shot Classification”☆151Updated 4 years ago
- The code repository for "Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions"☆433Updated 5 years ago
- Codebase for Embedding Propagation: Smoother Manifold for Few-Shot Classification. This is a ServiceNow Research project that was started…☆212Updated 3 years ago
- Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation (ICLR 2020 spotlight)☆351Updated 5 years ago
- ☆116Updated 5 years ago
- Code of Cross Attention Network for Few-shot Classification (NeurIPS 2019).☆217Updated 5 years ago
- (NeurIPS 2020) Transductive Information Maximization for Few-Shot Learning https://arxiv.org/abs/2008.11297☆123Updated 2 years ago
- Boosting Few-Shot Visual Learning with Self-Supervision☆138Updated 6 years ago
- Source codes for "Improved Few-Shot Visual Classification" (CVPR 2020), "Enhancing Few-Shot Image Classification with Unlabelled Examples…☆120Updated 2 years ago
- Pytorch code of "Revisiting Local Descriptor based Image-to-Class Measure for Few-shot Learning", CVPR 2019.☆202Updated 2 years ago
- A re-implementation of "Prototypical Networks for Few-shot Learning"☆329Updated 5 years ago
- [ICLR2021 Oral] Free Lunch for Few-Shot Learning: Distribution Calibration☆475Updated 4 years ago
- This repository contains the code for Instance Credibility Inference (ICI).☆85Updated 4 years ago
- ☆69Updated 6 years ago
- Tools for generating tieredImageNet dataset and processing batches☆78Updated 5 years ago
- LaSO: Label-Set Operations networks for multi-label few-shot learning - official implementation☆88Updated last year
- ☆131Updated 3 years ago
- ☆524Updated 4 years ago
- Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning, in ICCV 2021☆651Updated 4 years ago
- Reproduce Results for ICCV2019 "Symmetric Cross Entropy for Robust Learning with Noisy Labels" https://arxiv.org/abs/1908.06112☆191Updated 5 years ago
- Few-Shot Learning with Global Class Representations