Publication: ESS: Learning Event-Based Semantic Segmentation from Still Images
ESS: Learning Event-Based Semantic Segmentation from Still Images
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Sun, Z., Messikommer, N., Gehrig, D., & Scaramuzza, D. (2022). ESS: Learning Event-Based Semantic Segmentation from Still Images. Lecture Notes in Computer Science, 13694, 341–357. https://doi.org/10.1007/978-3-031-19830-4_20
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Retrieving accurate semantic information in challenging high dynamic range (HDR) and high-speed conditions remains an open challenge for image-based algorithms due to severe image degradations. Event cameras promise to address these challenges since they feature a much higher dynamic range and are resilient to motion blur. Nonetheless, semantic segmentation with event cameras is still in its infancy which is chiefly due to the lack of high-quality, labeled datasets. In this work, we introduce ESS (Event-based Semantic Segmentation), w
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- Sun, Zhaoning
- Gehrig, Daniel
- Scaramuzza, Davide
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Sun, Z., Messikommer, N., Gehrig, D., & Scaramuzza, D. (2022). ESS: Learning Event-Based Semantic Segmentation from Still Images. Lecture Notes in Computer Science, 13694, 341–357. https://doi.org/10.1007/978-3-031-19830-4_20
