Spatial context-aware object-attentional network for multi-label image classification
Multi-label image classification is a fundamental but challenging task in computer vision. To tackle the problem, the label-related semantic information is often exploited, but the background context and spatial semantic information of related objects are not fully utilized. To address these issues,...
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Main Authors: | , , , , |
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格式: | Article |
語言: | English |
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2024
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在線閱讀: | https://hdl.handle.net/10356/174558 |
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