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 ...

Open-vocabulary object detection has quietly become one of the most consequential ideas in modern computer vision. Instead of ...

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Industrial robots have become the workhorses of modern manufacturing, assembling electronics, sorting packages, palletizing ...

Robots and autonomous vehicles can use 3D point clouds from LiDAR sensors and camera images to perform 3D object detection. However, current techniques that combine both types of data struggle to ...

Members of the Google Brain team and Google AI this week open-sourced EfficientDet, an AI tool that achieves state-of-the-art object detection while using less compute. Creators of the system say it ...

Human fingers sensed tiny disturbances in sand before reaching a hidden cube, outperforming a robot in overall detection ...