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Found 5 papers, 3 papers with code
Chameleon: Fast-slow Neuro-symbolic Lane Topology Extraction
Lane topology extraction involves detecting lanes and traffic elements and determining their relationships, a key perception task for mapless autonomous driving.
Unified Few-shot Crack Segmentation and its Precise 3D Automatic Measurement in Concrete Structures
Visual-Spatial Systems has become increasingly essential in concrete crack inspection.
PC-BEV: An Efficient Polar-Cartesian BEV Fusion Framework for LiDAR Semantic Segmentation
Extensive evaluation on the SemanticKITTI and nuScenes datasets provides compelling evidence that our method outperforms previous multiview fusion approaches in terms of both performance and inference speed, highlighting the potential of BEV-based fusion for LiDAR segmentation.
Make a Strong Teacher with Label Assistance: A Novel Knowledge Distillation Approach for Semantic Segmentation
Specifically, for the teacher model training, we propose to noise the label and then incorporate it into input to effectively boost the lightweight teacher performance.
Towards Open-set Camera 3D Object Detection
Traditional camera 3D object detectors are typically trained to recognize a predefined set of known object classes.
