CAM3DNet outperforms prior camera-based 3D detectors on nuScenes, Waymo and Argoverse by using three new modules to better mine multi-scale spatiotemporal features from 2D queries and pyramid maps.
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cs.CV 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
Adaptive confidence threshold selection improves F1 scores in explainable multi-task classification for autonomous driving and is supported by a new 958-image dataset.
citing papers explorer
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CAM3DNet: Comprehensively mining the multi-scale features for 3D Object Detection with Multi-View Cameras
CAM3DNet outperforms prior camera-based 3D detectors on nuScenes, Waymo and Argoverse by using three new modules to better mine multi-scale spatiotemporal features from 2D queries and pyramid maps.
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Beyond Fixed Thresholds and Domain-Specific Benchmarks for Explainable Multi-Task Classification in Autonomous Vehicles
Adaptive confidence threshold selection improves F1 scores in explainable multi-task classification for autonomous driving and is supported by a new 958-image dataset.