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Incremental zero-shot learning based on attributes for image classification
2017 IEEE International Conference on Image Processing (ICIP), 2017Instead of assuming a closed-world environment comprising a fixed number of objects, modern pattern recognition systems need to recognize outliers, identify anomalies, or discover entirely new objects, which is known as zero-shot object recognition.
Nan Xue 0004 +3 more
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Enhanced VAEGAN: a zero-shot image classification method
Applied Intelligence, 2022Bo Ding 0003 +3 more
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Boosting Zero-Shot Image Classification via Pairwise Relationship Learning
2017Zero-shot image classification (ZSIC) is one of the emerging challenges in the communities of computer vision, artificial intelligence and machine learning. In this paper, we propose to exploit the pairwise relationships between test instances to increase the performance of conventional methods, e.g.
Hanhui Li +5 more
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Towards Zero-Shot Document Image Classification
2025 38th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI)Lucas Macedo +4 more
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Attribute-Guided Zero-Shot CLIP in Image Classification
2025 IEEE International Conference on Multimedia and Expo (ICME)Guoxi Qiu +3 more
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Generalized Zero-Shot Recognition Through Image-Guided Semantic Classification
2021 IEEE International Conference on Image Processing (ICIP), 2021Fang Li, Mei-Chen Yeh
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