WebJun 1, 2024 · It is noteworthy that, for the first time, the detection performance on three classes surpasses 80 APH (L2) simultaneously. Code will be available at … WebJul 17, 2024 · Different from existing auto-augmentation methods for 2D images, PointAugment is sample-aware and takes an adversarial learning strategy to jointly optimize an augmentor network and a …
CVPR2024 3D Detection PointAugmenting - 知乎
WebJun 25, 2024 · PointAugmenting: Cross-Modal Augmentation for 3D Object Detection Abstract: Camera and LiDAR are two complementary sensors for 3D object detection in the autonomous driving context. Camera provides rich texture and color cues while LiDAR specializes in relative distance sensing. WebMar 15, 2024 · Based on InverseAug and LearnableAlign, we develop a family of generic multi-modal 3D detection models named DeepFusion, which is more accurate than previous methods. For example, DeepFusion improves PointPillars, CenterPoint, and 3D-MAN baselines on Pedestrian detection for 6.7, 8.9, and 6.2 LEVEL_2 APH, respectively. haitian soup joumou
PointAugmenting: Cross-Modal Augmentation for 3D Object …
WebDate Published Github Stars. ... On one hand, PointAugmenting decorates point clouds with corresponding point-wise CNN features extracted by pretrained 2D detection models, and then performs 3D object detection over the decorated point clouds. 3D Object Detection Autonomous Driving +3 . WebJan 4, 2024 · GitHub - uzh-rpg/event-based_vision_resources WebFeb 26, 2024 · Efficient, event-driven feature extraction and unsupervised object tracking for embedded applications, 55th Annual Conf. on Information Sciences and Systems (CISS), 2024. Alzugaray, I., Ph.D. Thesis, 2024, Event-driven Feature Detection and Tracking for Visual SLAM. WebPointPainting Sequential Fusion for 3D Object Detection haitian sos pwa noir