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HALSIE -- Hybrid Approach to Learning Segmentation by Simultaneously Exploiting Image and Event Modalities. (arXiv:2211.10754v2 [cs.CV] UPDATED)
Nov. 24, 2022, 7:17 a.m. | Shristi Das Biswas, Adarsh Kosta, Chamika Liyanagedera, Marco Apolinario, Kaushik Roy
cs.CV updates on arXiv.org arxiv.org
Standard frame-based algorithms fail to retrieve accurate segmentation maps
in challenging real-time applications like autonomous navigation, owing to the
limited dynamic range and motion blur prevalent in traditional cameras. Event
cameras address these limitations by asynchronously detecting changes in
per-pixel intensity to generate event streams with high temporal resolution,
high dynamic range, and no motion blur. However, event camera outputs cannot be
directly used to generate reliable segmentation maps as they only capture
information at the pixels in motion. To …
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