For object detection in complex dark environments, the existing methods generally have problems such as low detection accuracy, false detection and missed detection. These problems lead to a lack of ...
The DEtection TRansformer (DETR) and the YOLO series have been at the forefront of advancements in object detection. The RT-DETR, a member of the DETR family, has notably addressed the speed ...
Video has become one of the most demanding data types in modern computer vision. Object detection models that perform ...
One of the most stubborn problems in mobile robotics has just received a promising new solution. When a robot drives through a city, a warehouse, or an off-road trail, it must constantly ask itself a ...