Zero-shot Learning for Visual Recognition Problems (original) (raw)

Zero-shot action recognition in videos: A survey

David Menotti

Neurocomputing, 2021

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Zero-Shot Object Recognition Using Semantic Label Vectors

Shujon Naha

2015 12th Conference on Computer and Robot Vision, 2015

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Zero Shot Learning to Detect Object Instances from Unknown Image Sources

Partha Chakraborty, Khalil Ahammad

International Journal of Innovative Technology and Exploring Engineering (IJITEE), 2020

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Zero-Shot Object Detection: Joint Recognition and Localization of Novel Concepts

Salman Hassan Khan

International Journal of Computer Vision

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Recent Advances in Zero-Shot Recognition: Toward Data-Efficient Understanding of Visual Content

Yanwei Fu

IEEE Signal Processing Magazine, 2018

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Leveraging Seen and Unseen Semantic Relationships for Generative Zero-Shot Learning

maunil vyas

ArXiv, 2020

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Zero-Shot Object Detection: Learning to Simultaneously Recognize and Localize Novel Concepts

Shafin Rahman

Computer Vision – ACCV 2018

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A Review of Generalized Zero-Shot Learning Methods

Farhad Pourpanah

2020

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Synthesizing the Unseen for Zero-shot Object Detection

Shafin Rahman

2020

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Global Semantic Descriptors for Zero-shot Action Recognition

Rayson Laroca

IEEE Signal Processing Letters, 2022

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Learning without Seeing nor Knowing: Towards Open Zero-Shot Learning

federico marmoreo

arXiv (Cornell University), 2021

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Zero-shot learning by convex combination of semantic embeddings

Greg Corrado

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Trading-off Information Modalities in Zero-shot Classification

Matias Molina

2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2022

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Joint Concept Matching based Learning for Zero-Shot Recognition

Ashkan Panahi

arXiv (Cornell University), 2019

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Zero-Shot Learning Through Cross-Modal Transfer

Christopher D Manning

2013

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Zero-shot Learning with Class Description Regularization

Marcus Brubaker

arXiv (Cornell University), 2021

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Generative Model with Semantic Embedding and Integrated Classifier for Generalized Zero-Shot Learning

Ayyappa Kumar Pambala

2020 IEEE Winter Conference on Applications of Computer Vision (WACV), 2020

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Recent Advances in Zero-shot Recognition

Yanwei Fu

Cornell University - arXiv, 2017

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Zero-Shot Learning with Missing Attributes using Semantic Correlations

Kunal Chaturvedi

2021 International Joint Conference on Neural Networks (IJCNN), 2021

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Write a Classifier: Zero-Shot Learning Using Purely Textual Descriptions

Mohamed Elhoseiny

2013 IEEE International Conference on Computer Vision, 2013

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Generalized Zero-shot Learning using Open Set Recognition

Omkar Gune

2019

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SDM-Net: A Simple and Effective Model for Generalized Zero-Shot Learning

Tharun Medini

2021

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COSTA: Co-Occurrence Statistics for Zero-Shot Classification

Efstratios Gavves

2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

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A Unified approach for Conventional Zero-shot, Generalized Zero-shot and Few-shot Learning

Shafin Rahman

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society, 2018

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Transductive Multi-view Embedding for Zero-Shot Recognition and Annotation

Yanwei Fu

Computer Vision – ECCV 2014, 2014

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Exploring the Limits of Zero-Shot Learning - How Low Can You Go?

karan sharma

2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

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Learning Joint Feature Adaptation for Zero-Shot Recognition

Ziming Zhang

2016

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A Large-scale Attribute Dataset for Zero-shot Learning

Yanwei Fu

arXiv (Cornell University), 2018

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Unified Generator-Classifier for Efficient Zero-Shot Learning

Ayyappa Kumar Pambala

2019

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Semantic Similarity Based Softmax Classifier for Zero-Shot Learning

Tharun Medini

ArXiv, 2019

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Multi-label Zero-shot Classification by Learning to Transfer from External Knowledge

Philip Yu

arXiv (Cornell University), 2020

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Scaling Human-Object Interaction Recognition in the Video through Zero-Shot Learning

karim faez

Computational Intelligence and Neuroscience

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Joint Concept Matching-Space Projection Learning for Zero-Shot Recognition

Ashkan Panahi

arXiv: Computer Vision and Pattern Recognition, 2019

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