CamoFormer : Masked Separable Attention for Camouflaged Object Detection
How to identify and segment camouflaged objects from the background is challenging. Inspired by the multi-head self-attention in Transformers, we present a simple masked separable attention (MSA) for camouflaged object detection. We first separate the multi-head self-attention into three parts, whic...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 46(2024), 12 vom: 05. Dez., Seite 10362-10374
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| 1. Verfasser: |
Yin, Bowen
(VerfasserIn) |
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| Weitere Verfasser: |
Zhang, Xuying,
Fan, Deng-Ping,
Jiao, Shaohui,
Cheng, Ming-Ming,
Van Gool, Luc,
Hou, Qibin |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2024
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on pattern analysis and machine intelligence
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| Schlagworte: | Journal Article |
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