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Generalized Zero-Shot Learning

11 papers with code · Methodology
Subtask of Zero-Shot Learning

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Latest papers with code

Alleviating Feature Confusion for Generative Zero-shot Learning

17 Sep 2019lijin118/AFC-GAN

An inevitable issue of such a paradigm is that the synthesized unseen features are prone to seen references and incapable to reflect the novelty and diversity of real unseen instances.

GENERALIZED ZERO-SHOT LEARNING

0
17 Sep 2019

Zero-shot Word Sense Disambiguation using Sense Definition Embeddings

ACL 2019 malllabiisc/EWISE

To overcome this challenge, we propose Extended WSD Incorporating Sense Embeddings (EWISE), a supervised model to perform WSD by predicting over a continuous sense embedding space as opposed to a discrete label space.

GENERALIZED ZERO-SHOT LEARNING KNOWLEDGE GRAPH EMBEDDING WORD SENSE DISAMBIGUATION

27
01 Jul 2019

Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders

CVPR 2019 edgarschnfld/CADA-VAE-PyTorch

Many approaches in generalized zero-shot learning rely on cross-modal mapping between the image feature space and the class embedding space.

FEW-SHOT LEARNING GENERALIZED ZERO-SHOT LEARNING

73
01 Jun 2019

Adaptive Confidence Smoothing for Generalized Zero-Shot Learning

CVPR 2019 yuvalatzmon/COSMO

COSMO is also the first model that closes the gap and surpasses the performance of generative models for GZSL, even-though it is a light-weight model that is much easier to train and tune.

GENERALIZED ZERO-SHOT LEARNING

4
01 Jun 2019

Unifying Unsupervised Domain Adaptation and Zero-Shot Visual Recognition

25 Mar 2019hellowangqian/domain-adaptation-capls

Unsupervised domain adaptation aims to transfer knowledge from a source domain to a target domain so that the target domain data can be recognized without any explicit labelling information for this domain.

GENERALIZED ZERO-SHOT LEARNING UNSUPERVISED DOMAIN ADAPTATION

0
25 Mar 2019

Adaptive Confidence Smoothing for Generalized Zero-Shot Learning

CVPR 2019 yuvalatzmon/COSMO

COSMO is also the first model that closes the gap and surpasses the performance of generative models for GZSL, even-though it is a light-weight model that is much easier to train and tune.

GENERALIZED ZERO-SHOT LEARNING

4
24 Dec 2018

Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders

5 Dec 2018edgarschnfld/CADA-VAE-PyTorch

Many approaches in generalized zero-shot learning rely on cross-modal mapping between the image feature space and the class embedding space.

FEW-SHOT LEARNING GENERALIZED ZERO-SHOT LEARNING

73
05 Dec 2018

Generative Dual Adversarial Network for Generalized Zero-shot Learning

CVPR 2019 stevehuanghe/GDAN

Most previous models try to learn a fixed one-directional mapping between visual and semantic space, while some recently proposed generative methods try to generate image features for unseen classes so that the zero-shot learning problem becomes a traditional fully-supervised classification problem.

GENERALIZED ZERO-SHOT LEARNING METRIC LEARNING

17
12 Nov 2018

Zero-Shot Learning Based Approach For Medieval Word Recognition Using Deep-Learned Features

16th International Conference on Frontiers in Handwriting Recognition (ICFHR 2018) 2018 Zero-Shot/Zero-Shot-Learning

A Zero-shot learning algorithm is capable of handling unseen classes, provided the algorithm has been fortified with rich discriminating features and reliable “attribute description” per class during training.

GENERALIZED ZERO-SHOT LEARNING LANGUAGE MODELLING OPTICAL CHARACTER RECOGNITION

12
01 Oct 2018

Multi-modal Cycle-consistent Generalized Zero-Shot Learning

ECCV 2018 rfelixmg/frwgan-eccv18

In generalized zero shot learning (GZSL), the set of classes are split into seen and unseen classes, where training relies on the semantic features of the seen and unseen classes and the visual representations of only the seen classes, while testing uses the visual representations of the seen and unseen classes.

GENERALIZED ZERO-SHOT LEARNING

41
01 Aug 2018