EthanZhu90 / ZSL_GAN
Code for the paper CVPR‘18 "A Generative Adversarial Approach for Zero-Shot Learning from Noisy Texts"
☆194Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for ZSL_GAN
- PyTorch code for CVPR 2018 paper: Learning to Compare: Relation Network for Few-Shot Learning (Zero-Shot Learning part)☆263Updated 6 years ago
- Tensorflow implementation of NIPS 2017 Paper "Prototypical Networks for Few-shot Learning"☆132Updated 6 years ago
- Tensorflow code for CVPR 2017 paper: Learning a Deep Embedding Model for Zero-Shot Learning☆181Updated 5 years ago
- Learning Deep Representations of Fine-grained Visual Descriptions☆334Updated 7 years ago
- Presenting Low-shot Visual Recognition by Shrinking and Hallucinating Features☆309Updated 3 years ago
- Pytorch code for CVPR 2017 paper: Learning a Deep Embedding Model for Zero-Shot Learning☆60Updated 6 years ago
- Semantic Autoencoder for Zero-shot Learning (Spotlight), CVPR 2017☆146Updated 6 years ago
- An attempt at replicating the Matching Networks for One Shot Learning in Tensorflow - Paper URL: https://arxiv.org/pdf/1606.04080.pdf☆328Updated 6 years ago
- Matching Networks for one shot learning☆230Updated 7 years ago
- Pytorch Implementation for CVPR2018 Paper: Learning to Compare: Relation Network for Few-Shot Learning☆251Updated 6 years ago
- Good Semi-Supervised Learning That Requires a Bad GAN☆181Updated 7 years ago
- Rethinking Knowledge Graph Propagation for Zero-Shot Learning, in CVPR 2019☆319Updated 5 years ago
- Code for model presented on our paper accepted on European Conference on Computer Vision 2018.☆57Updated 5 years ago
- Few shot learning☆155Updated 3 years ago
- Pytorch implementation of HDGan☆150Updated 6 years ago
- This repository contains the code for the real data experiments presented in our paper “An embarrassingly simple approach to zero-shot l…☆68Updated 8 years ago
- Few-Shot Image Recognition by Predicting Parameters from Activations☆110Updated 6 years ago
- Code for ICLR19 paper: Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning.☆243Updated 5 years ago
- A DIRT-T Approach to Unsupervised Domain Adaptation (ICLR 2018)☆176Updated 6 years ago
- Pytorch implementation of the paper "Optimization as a Model for Few-Shot Learning"☆256Updated 7 years ago
- Pytorch implementation of winner from VQA Chllange Workshop in CVPR'17☆164Updated 5 years ago
- A collection of arbitrary text to image papers with code (constantly updating)☆214Updated 4 years ago
- Generative Dual Adversarial Network for Generalized Zero-shot Learning☆54Updated 5 years ago
- Image Caption and Text to Image papers.☆68Updated 6 years ago
- This repository contains code for the paper Learning by Association - A versatile semi-supervised training method for neural networks (CV…☆152Updated 7 years ago
- Code for the paper "Adversarial Feature Augmentation for Unsupervised Domain Adaptation", CVPR 2018☆130Updated 5 years ago
- ☆351Updated 4 years ago
- Code of the article: Generating Visual Representations for Zero-Shot Classification ICCV17 WS☆23Updated 6 years ago
- This repository is an implementation of Feature Generating Networks for Zero Shot Learning (https://arxiv.org/pdf/1712.00981.pdf).☆46Updated 5 years ago
- Semantic Feature Augmentation in Few-shot Learning☆87Updated 5 years ago