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Zero-Shot Learning-A Comprehensive Evaluation of the Good, the Bad and the Ugly

IEEE transactions on pattern analysis and machine intelligence, 2019-09, Vol.41 (9), p.2251-2265

2019

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A Review of Generalized Zero-Shot Learning Methods

IEEE transactions on pattern analysis and machine intelligence, 2023-04, Vol.45 (4), p.4051-4070

2023

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

Computer Vision – ACCV 2018, p.547-563

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A Unified Approach for Conventional Zero-Shot, Generalized Zero-Shot, and Few-Shot Learning

IEEE transactions on image processing, 2018-11, Vol.27 (11), p.5652-5667

2018

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Transfer Increment for Generalized Zero-Shot Learning

IEEE transaction on neural networks and learning systems, 2021-06, Vol.32 (6), p.2506-2520

2021

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Semantics-Guided Contrastive Network for Zero-Shot Object Detection

IEEE transactions on pattern analysis and machine intelligence, 2024-03, Vol.46 (3), p.1530-1544

2024

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Generative Multi-Label Zero-Shot Learning

IEEE transactions on pattern analysis and machine intelligence, 2023-12, Vol.PP (12), p.1-13

2023

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Robust deep alignment network with remote sensing knowledge graph for zero-shot and generalized zero-shot remote sensing image scene classification

ISPRS journal of photogrammetry and remote sensing, 2021-09, Vol.179, p.145-158

2021

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Advancing zero-shot semantic segmentation through attribute correlations

Neurocomputing (Amsterdam), 2024-08, Vol.594, p.127829, Article 127829

2024

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Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing

ACM computing surveys, 2023-09, Vol.55 (9), p.1-35, Article 195

2023

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Learning to Model Relationships for Zero-Shot Video Classification

IEEE transactions on pattern analysis and machine intelligence, 2021-10, Vol.43 (10), p.3476-3491

2021

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A Survey of Zero-Shot Learning: Settings, Methods, and Applications

ACM transactions on intelligent systems and technology, 2019-03, Vol.10 (2), p.1-37

2019

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Transductive Zero-Shot Action Recognition by Word-Vector Embedding

International journal of computer vision, 2017-07, Vol.123 (3), p.309-333

2017

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Learning Graph Embeddings for Open World Compositional Zero-Shot Learning

IEEE transactions on pattern analysis and machine intelligence, 2024-03, Vol.46 (3), p.1545-1560

2024

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Attribute-Guided Network for Cross-Modal Zero-Shot Hashing

IEEE transaction on neural networks and learning systems, 2020-01, Vol.31 (1), p.321-330

2020

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Integrated generalized zero-shot learning for fine-grained classification

Pattern recognition, 2022-02, Vol.122, p.108246, Article 108246

2022

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M-RRFS: A Memory-Based Robust Region Feature Synthesizer for Zero-Shot Object Detection

International journal of computer vision, 2024-05

2024

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Generalized zero-shot action recognition through reservation-based gate and semantic-enhanced contrastive learning

Knowledge-based systems, 2024-10, Vol.301, p.112283, Article 112283

2024

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Sequence feature generation with temporal unrolling network for zero-shot action recognition

Neurocomputing (Amsterdam), 2021-08, Vol.448, p.313-323

2021

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Zero-shot semantic segmentation via spatial and multi-scale aware visual class embedding

Pattern recognition letters, 2022-06, Vol.158, p.87-93

2022

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LVAR-CZSL: Learning Visual Attributes Representation for Compositional Zero-Shot Learning

IEEE transactions on circuits and systems for video technology, 2024-08, p.1-1

2024

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A Survey of Multilingual Neural Machine Translation

ACM computing surveys, 2020-09, Vol.53 (5), p.1-38

2020

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

International journal of computer vision, 2020-12, Vol.128 (12), p.2979-2999

2020

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Generalized Zero-Shot Approach Leveraging Attribute Space for High-Speed Train Bogie

IEEE transactions on instrumentation and measurement, 2024-01, Vol.73, p.1-1

2024

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Mutual Balancing in State-Object Components for Compositional Zero-Shot Learning

Pattern recognition, 2024-08, Vol.152, p.110451, Article 110451

2024

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Zero-Shot Learning-A Comprehensive Evaluation of the Good, the Bad and the Ugly

A Review of Generalized Zero-Shot Learning Methods

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

A Unified Approach for Conventional Zero-Shot, Generalized Zero-Shot, and Few-Shot Learning

Transfer Increment for Generalized Zero-Shot Learning

Semantics-Guided Contrastive Network for Zero-Shot Object Detection

Generative Multi-Label Zero-Shot Learning

Robust deep alignment network with remote sensing knowledge graph for zero-shot and generalized zero-shot remote sensing image scene classification

Advancing zero-shot semantic segmentation through attribute correlations

Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing

Learning to Model Relationships for Zero-Shot Video Classification

A Survey of Zero-Shot Learning: Settings, Methods, and Applications

Transductive Zero-Shot Action Recognition by Word-Vector Embedding

Learning Graph Embeddings for Open World Compositional Zero-Shot Learning

Attribute-Guided Network for Cross-Modal Zero-Shot Hashing

Integrated generalized zero-shot learning for fine-grained classification

M-RRFS: A Memory-Based Robust Region Feature Synthesizer for Zero-Shot Object Detection

Generalized zero-shot action recognition through reservation-based gate and semantic-enhanced contrastive learning

Sequence feature generation with temporal unrolling network for zero-shot action recognition

Zero-shot semantic segmentation via spatial and multi-scale aware visual class embedding

LVAR-CZSL: Learning Visual Attributes Representation for Compositional Zero-Shot Learning

A Survey of Multilingual Neural Machine Translation

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

Generalized Zero-Shot Approach Leveraging Attribute Space for High-Speed Train Bogie

Mutual Balancing in State-Object Components for Compositional Zero-Shot Learning

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