2 papers
cs.CV2025
Objectomaly: Objectness-Aware Refinement for OoD Segmentation with Structural Consistency and Boundary Precision
Jeonghoon Song, Sunghun Kim, Jaegyun Im +1
Out-of-Distribution (OoD) segmentation is critical for safety-sensitive applications like autonomous driving. However, existing mask-based methods often suffer from boundary imprec…
cs.CV2025
DRIFT open dataset: A drone-derived intelligence for traffic analysis in urban environment
Hyejin Lee, Seokjun Hong, Jeonghoon Song +7
Reliable traffic data are essential for understanding urban mobility and developing effective traffic management strategies. This study introduces the DRone-derived Intelligence Fo…