WenbinLee / DN4
Pytorch code of "Revisiting Local Descriptor based Image-to-Class Measure for Few-shot Learning", CVPR 2019.
☆193Updated last year
Alternatives and similar repositories for DN4:
Users that are interested in DN4 are comparing it to the libraries listed below
- Few shot learning☆155Updated 3 years ago
- Boosting Few-Shot Visual Learning with Self-Supervision☆137Updated 5 years ago
- Code of Cross Attention Network for Few-shot Classification (NeurIPS 2019).☆212Updated 4 years ago
- This repository contains the code for Instance Credibility Inference (ICI).☆83Updated 3 years ago
- Generating Classification Weights with GNN Denoising Autoencoders for Few-Shot Learning☆156Updated 5 years ago
- ☆113Updated 4 years ago
- Implementation for paper "Few-Shot Learning with Global Class Representations" (https://arxiv.org/abs/1908.05257)☆18Updated 2 years ago
- PyTorch implementation of “Negative Margin Matters: Understanding Margin in Few-shot Classification”☆148Updated 3 years ago
- ☆90Updated 2 years ago
- Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation (ICLR 2020 spotlight)☆336Updated 4 years ago
- The Pytorch code of "Distribution Consistency based Covariance Metric Networks for Few-shot Learning", AAAI 2019.☆58Updated 4 years ago
- Few-Shot Learning with Global Class Representations☆74Updated 2 years ago
- Pytorch Code for ICLR19 paper: Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning.☆176Updated 3 years ago
- This is the tensorflow implementation for the paper "Delta-encoder: an effective sample synthesis method for few-shot object recognition"…☆51Updated 5 years ago
- [CVPR 2020] DPGN: Distribution Propagation Graph Network for Few-shot Learning.☆181Updated 6 months ago
- Pytorch Implementation for CVPR2018 Paper: Learning to Compare: Relation Network for Few-Shot Learning☆250Updated 6 years ago
- (ECCV 2020) Cross-Domain Few-Shot Learning Benchmarking System☆226Updated 4 years ago
- Adaptive Cross-Modal Few-shot learning OSS code. This is a ServiceNow Research project that was started at Element AI.☆65Updated 2 years ago
- ICLR 2021: A Universal Representation Transformer Layer for Few-Shot Image Classification☆104Updated 3 years ago
- LaSO: Label-Set Operations networks for multi-label few-shot learning - official implementation☆86Updated 10 months ago
- Code for 'Leveraging the Feature Distribution in Transfer-based Few-Shot Learning'☆212Updated last year
- SSL-FEW-SHOT☆171Updated 4 years ago
- The code repository for "Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions"☆423Updated 4 years ago
- ☆132Updated 3 years ago
- A re-implementation of "Prototypical Networks for Few-shot Learning"☆311Updated 4 years ago
- A PyTorch implementation of "Image Deformation Meta-Networks for One-Shot Learning"(CVPR 2019 Oral).☆50Updated 4 years ago
- Few-shot detection for visual categories☆111Updated 2 years ago
- Code for ICLR19 paper: Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning.☆242Updated 5 years ago
- (ICCV'19 Best Paper Nomination) Larger Norm More Transferable: An Adaptive Feature Norm Approach for Unsupervised Domain Adaptation☆187Updated 5 years ago
- Pytorch Implementation of CVPR19 "Few-shot Learning via Saliency-guided Hallucination of Samples"☆32Updated 5 years ago