facebookresearch / low-shot-shrink-hallucinate
Presenting Low-shot Visual Recognition by Shrinking and Hallucinating Features
☆308Updated 3 years ago
Alternatives and similar repositories for low-shot-shrink-hallucinate:
Users that are interested in low-shot-shrink-hallucinate are comparing it to the libraries listed below
- Pytorch Implementation for CVPR2018 Paper: Learning to Compare: Relation Network for Few-Shot Learning☆249Updated 7 years ago
- Few shot learning☆155Updated 3 years ago
- Meta Learning for Semi-Supervised Few-Shot Classification☆558Updated 5 years ago
- PyTorch code for CVPR 2018 paper: Learning to Compare: Relation Network for Few-Shot Learning (Zero-Shot Learning part)☆265Updated 6 years ago
- This repo provides pytorch code which replicates the results of the Matching Networks for One Shot Learning paper on the Omniglot and Min…☆337Updated last year
- Tensorflow code for CVPR 2017 paper: Learning a Deep Embedding Model for Zero-Shot Learning☆182Updated 5 years ago
- Matching Networks for one shot learning☆230Updated 7 years ago
- Code for ICLR19 paper: Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning.☆242Updated 5 years ago
- The implementation of https://papers.nips.cc/paper/7352-tadam-task-dependent-adaptive-metric-for-improved-few-shot-learning . TADAM is a …☆106Updated 2 years ago
- ☆520Updated 3 years ago
- An attempt at replicating the Matching Networks for One Shot Learning in Tensorflow - Paper URL: https://arxiv.org/pdf/1606.04080.pdf☆329Updated 6 years ago
- [ICLR'19] Meta-learning with differentiable closed-form solvers☆115Updated 5 years ago
- Pytorch implementation of the paper "Optimization as a Model for Few-Shot Learning"☆255Updated 7 years ago
- ☆132Updated 4 years ago
- Few-Shot Image Recognition by Predicting Parameters from Activations☆110Updated 6 years ago
- Semantic Feature Augmentation in Few-shot Learning☆88Updated 5 years ago
- Meta-Learning with Differentiable Convex Optimization (CVPR 2019 Oral)☆534Updated 8 months ago
- Tensorflow implementation of NIPS 2017 Paper "Prototypical Networks for Few-shot Learning"☆134Updated 7 years ago
- Generating Classification Weights with GNN Denoising Autoencoders for Few-Shot Learning☆156Updated 5 years ago
- Implementation of Meta-Learning with Latent Embedding Optimization☆306Updated 5 years ago
- Code for the paper "Adversarial Feature Augmentation for Unsupervised Domain Adaptation", CVPR 2018☆130Updated 6 years ago
- Code for 'Low-Shot Learning with Imprinted Weights'☆68Updated 6 years ago
- Pytorch code of "Revisiting Local Descriptor based Image-to-Class Measure for Few-shot Learning", CVPR 2019.☆196Updated last year
- PyTorch Implementation of `No Fuss Distance Metric Learning using Proxies`.☆181Updated 4 years ago
- This repo contains the source code accompanying a scientific paper with the same name.☆370Updated 3 years ago
- Auto-Encoding Transformations (AETv1), CVPR 2019☆108Updated 5 years ago
- Improving Generalization via Scalable Neighborhood Component Analysis☆137Updated last year
- ☆369Updated 4 years ago
- Tensorflow code for ICML 2019 paper: LGM-Net: Learning to Generate Matching Networks for Few-Shot Learning☆84Updated 4 years ago
- Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Juli…☆114Updated 7 years ago