lzrobots / DeepEmbeddingModel_ZSL
Tensorflow code for CVPR 2017 paper: Learning a Deep Embedding Model for Zero-Shot Learning
☆182Updated 5 years ago
Alternatives and similar repositories for DeepEmbeddingModel_ZSL:
Users that are interested in DeepEmbeddingModel_ZSL are comparing it to the libraries listed below
- PyTorch code for CVPR 2018 paper: Learning to Compare: Relation Network for Few-Shot Learning (Zero-Shot Learning part)☆265Updated 6 years ago
- Pytorch Implementation for CVPR2018 Paper: Learning to Compare: Relation Network for Few-Shot Learning☆248Updated 7 years ago
- Pytorch code for CVPR 2017 paper: Learning a Deep Embedding Model for Zero-Shot Learning☆59Updated 6 years ago
- Semantic Autoencoder for Zero-shot Learning (Spotlight), CVPR 2017☆146Updated 6 years ago
- Semantic Feature Augmentation in Few-shot Learning☆88Updated 5 years ago
- Code for ICLR19 paper: Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning.☆242Updated 5 years ago
- Matching Networks for one shot learning☆230Updated 7 years ago
- Tensorflow implementation of NIPS 2017 Paper "Prototypical Networks for Few-shot Learning"☆133Updated 7 years ago
- Generating Classification Weights with GNN Denoising Autoencoders for Few-Shot Learning☆156Updated 5 years ago
- Few shot learning☆155Updated 3 years ago
- Pytorch implementation of the paper "Optimization as a Model for Few-Shot Learning"☆255Updated 7 years ago
- ☆100Updated 4 years ago
- Rethinking Knowledge Graph Propagation for Zero-Shot Learning, in CVPR 2019☆320Updated 5 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
- 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
- This repository is an implementation of Feature Generating Networks for Zero Shot Learning (https://arxiv.org/pdf/1712.00981.pdf).☆46Updated 6 years ago
- Code for the paper "Adversarial Feature Augmentation for Unsupervised Domain Adaptation", CVPR 2018☆130Updated 6 years ago
- Code of the article: Generating Visual Representations for Zero-Shot Classification ICCV17 WS☆23Updated 7 years ago
- ☆65Updated 6 years ago
- Few-Shot Image Recognition by Predicting Parameters from Activations☆110Updated 6 years ago
- Presenting Low-shot Visual Recognition by Shrinking and Hallucinating Features☆308Updated 3 years ago
- Semantically consistent regularizer for zero-shot learning☆64Updated 7 years ago
- Implementation of "Matching Networks for One Shot Learning" in Keras https://arxiv.org/abs/1606.04080☆53Updated 6 years ago
- Tensorflow codes for ICML2018, Learning Semantic Representations for Unsupervised Domain Adaptation☆110Updated 6 years ago
- Demo for the paper titled "Learning to Compare: Relation Network for Few-Shot Learning"☆29Updated 7 years ago
- This is the PyTorch-0.4.0 implementation of few-shot learning on CIFAR-100 with graph neural networks (GNN)☆86Updated 6 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
- Generative Dual Adversarial Network for Generalized Zero-shot Learning☆54Updated 5 years ago
- Matching Networks for one-shot learning in tensorflow (NIPS'16)☆57Updated 6 years ago
- Tensorflow source code for "CleanNet: Transfer Learning for Scalable Image Classifier Training with Label Noise" (CVPR 2018)☆88Updated 6 years ago