Classifier Crafting: Turn Your ConvNet into a Zero-Shot Learner! (original) (raw)

Synthesizing the Unseen for Zero-shot Object Detection

Shafin Rahman

2020

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

maunil vyas

ArXiv, 2020

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

Shafin Rahman

Computer Vision – ACCV 2018

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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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Zero-Shot Learning from scratch (ZFS): leveraging local compositional representations

Linda Petrini

2020

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Transductive Zero-Shot Learning by Decoupled Feature Generation

federico marmoreo

2021 IEEE Winter Conference on Applications of Computer Vision (WACV)

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

Tharun Medini

2021

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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 Object Detection: Joint Recognition and Localization of Novel Concepts

Salman Hassan Khan

International Journal of Computer Vision

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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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Unified Generator-Classifier for Efficient Zero-Shot Learning

Ayyappa Kumar Pambala

2019

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UnseenNet: Fast Training Detector for Any Unseen Concept

asra aslam

ArXiv, 2022

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A Large-scale Attribute Dataset for Zero-shot Learning

Yanwei Fu

arXiv (Cornell University), 2018

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Meta-Transfer Networks for Zero-Shot Learning

Frøy Thule Skøld

ArXiv, 2019

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Semantic Similarity Based Softmax Classifier for Zero-Shot Learning

Tharun Medini

ArXiv, 2019

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Recent Advances in Zero-shot Recognition

Yanwei Fu

Cornell University - arXiv, 2017

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GSMFlow: Generation Shifts Mitigating Flow for Generalized Zero-Shot Learning

Yadan Luo

IEEE Transactions on Multimedia

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Zero-shot Learning for Visual Recognition Problems

Shujon Naha

2015

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Zero-Shot Learning with Knowledge Enhanced Visual Semantic Embeddings

pritish sahu

2020

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COCOA: Context-Conditional Adaptation for Recognizing Unseen Classes in Unseen Domains

Fahad Khan

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

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Generalized Zero-Shot Learning using Generated Proxy Unseen Samples and Entropy Separation

Fabio Cuzzolin

Proceedings of the 28th ACM International Conference on Multimedia

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CLAREL: Classification via retrieval loss for zero-shot learning

Negar Rostamzadeh

2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

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Zero-shot Learning with Class Description Regularization

Marcus Brubaker

arXiv (Cornell University), 2021

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Any-Shot Object Detection

Shafin Rahman

Computer Vision – ACCV 2020

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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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On Implicit Attribute Localization for Generalized Zero-Shot Learning

Joost van de Weijer

IEEE Signal Processing Letters, 2021

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Normalization Matters in Zero-Shot Learning

Mohamed Elhoseiny

ArXiv, 2020

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A Simple Discriminative Dual Semantic Auto-encoder for Zero-shot Classification

Sardorbek Oromiddinov

2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2020

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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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Simple and effective localized attribute representations for zero-shot learning

Joost van de Weijer

arXiv (Cornell University), 2020

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From generalized zero-shot learning to long-tail with class descriptors

dvir samuel

2021 IEEE Winter Conference on Applications of Computer Vision (WACV), 2021

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Generative Multi-Label Zero-Shot Learning

Akshita Gupta

ArXiv, 2021

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Zero-shot learning with semantic output codes

Dean Pomerleau, Tom Mitchell

2009

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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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