TopoMaskV3 adds dense offset and height heads to produce standalone 3D road centerlines from masks and reports 28.5 OLS on a new geographically disjoint long-range benchmark.
nuscenes: A multi- modal dataset for autonomous driving
3 Pith papers cite this work. Polarity classification is still indexing.
3
Pith papers citing it
fields
cs.CV 3years
2026 3verdicts
UNVERDICTED 3representative citing papers
TopoHR introduces hierarchical point/instance/semantic queries and a unified P2I+I2I topology module that reports SOTA gains on OpenLane-V2 subsets.
ChronoTrack enables effective long-term 3D single-object tracking in LiDAR by storing target features in compact learnable memory tokens regularized by temporal consistency and memory-cycle consistency losses, reaching SOTA accuracy at 42 FPS.
citing papers explorer
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TopoMaskV3: 3D Mask Head with Dense Offset and Height Predictions for Road Topology Understanding
TopoMaskV3 adds dense offset and height heads to produce standalone 3D road centerlines from masks and reports 28.5 OLS on a new geographically disjoint long-range benchmark.
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TopoHR: Hierarchical Centerline Representation for Cyclic Topology Reasoning in Driving Scenes with Point-to-Instance Relations
TopoHR introduces hierarchical point/instance/semantic queries and a unified P2I+I2I topology module that reports SOTA gains on OpenLane-V2 subsets.
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Temporally Consistent Long-Term Memory for 3D Single Object Tracking
ChronoTrack enables effective long-term 3D single-object tracking in LiDAR by storing target features in compact learnable memory tokens regularized by temporal consistency and memory-cycle consistency losses, reaching SOTA accuracy at 42 FPS.