Papers Panoptic Tracking
“Panoptic Tracking” 태그가 달린 논문 6편 · 필터 해제
Learning Appearance and Motion Cues for Panoptic Tracking
Panoptic tracking enables pixel-level scene interpretation of videos by integrating instance tracking in panoptic segmentation. This provides robots with a spatio-temporal understanding of the environment, an essential a…
AttributePanoptic SegmentationPanoptic TrackingAmodal Optical Flow
Optical flow estimation is very challenging in situations with transparent or occluded objects. In this work, we address these challenges at the task level by introducing Amodal Optical Flow, which integrates optical flo…
DecoderOptical Flow EstimationPanoptic Tracking4D-Former: Multimodal 4D Panoptic Segmentation
4D panoptic segmentation is a challenging but practically useful task that requires every point in a LiDAR point-cloud sequence to be assigned a semantic class label, and individual objects to be segmented and tracked ov…
4D Panoptic SegmentationPanoptic SegmentationPanoptic TrackingSegmentation7th AI Driving Olympics: 1st Place Report for Panoptic Tracking
In this technical report, we describe our EfficientLPT architecture that won the panoptic tracking challenge in the 7th AI Driving Olympics at NeurIPS 2021. Our architecture builds upon the top-down EfficientLPS panoptic…
BenchmarkingPanoptic SegmentationPanoptic TrackingPanoptic nuScenes: A Large-Scale Benchmark for LiDAR Panoptic Segmentation and Tracking
Panoptic scene understanding and tracking of dynamic agents are essential for robots and automated vehicles to navigate in urban environments. As LiDARs provide accurate illumination-independent geometric depictions of t…
BenchmarkingDiversityNavigatePanoptic Segmentation+3MOPT: Multi-Object Panoptic Tracking
Comprehensive understanding of dynamic scenes is a critical prerequisite for intelligent robots to autonomously operate in their environment. Research in this domain, which encompasses diverse perception problems, has pr…
Instance SegmentationMulti-Object TrackingObjectObject Tracking+4