Real-time object detection is becoming necessary for a wide number of applications related to computer vision and image processing, security, bioinformatics, and several other areas. Existing software ...

Semi-supervised object detection methods are widely used in autonomous driving systems, where only a fraction of objects are labeled. To propagate information from the labeled objects to the unlabeled ...

Autonomous driving robots typically use LiDAR sensors to detect their surroundings and navigate. Functioning as “laser eyes,” expensive LiDAR sensors determine distance and structure by ...

Where f i and f i ′ denote the feature vectors from the student model and the frozen DINOv2 model at pixel i, respectively.. Finally, semantic segmentation labels are assigned to the unlabeled images ...