MVF-Net: A Multi-View Fusion Network for Event-Based Object Classification

Event-based object recognition has drawn increasing attention for event cameras' distinguished advantages of low power consumption and high dynamic range. For this new modality, previous works based on customizing low-level descriptors are vulnerable to noise and with limited generalizability....

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Veröffentlicht in:	IEEE transactions on circuits and systems for video technology 2022-12, Vol.32 (12), p.8275-8284
Hauptverfasser:	Deng, Yongjian, Chen, Hao, Li, Youfu
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks attention Cameras Data models Event data Feature extraction multi-view object categorization Object recognition Power consumption Power demand Streaming media Task analysis Three-dimensional displays Two dimensional models
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