SparseCoop delivers state-of-the-art 3D detection and tracking performance on V2X-Seq and Griffin datasets using only sparse kinematic queries instead of dense BEV features, with lower transmission cost and latency robustness.
In2020 IEEE/CVF Conference on Computer Vi- sion and Pattern Recognition (CVPR), 11618–11628
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
SparseCoop: Cooperative Perception with Kinematic-Grounded Queries
SparseCoop delivers state-of-the-art 3D detection and tracking performance on V2X-Seq and Griffin datasets using only sparse kinematic queries instead of dense BEV features, with lower transmission cost and latency robustness.