Abstract: Recent one-stage object detectors follow a per-pixel prediction approach that predicts both the object category scores and boundary positions from every single grid location. However, the ...

Weakly supervised object detection (WSOD) trains detectors by only weak labels, aiming to save the burden of expensive bounding box-level annotations. Most previous efforts formulate WSOD as a ...

🚀🚀🚀 A collection of some awesome public YOLO object detection series projects and the related object detection datasets. gui cuda yolo llama object-detection datasets vlm tensorrt snn ...

Researchers from the University of Rochester and University of California, Santa Barbara, engineered a laser device smaller than a penny that they say could power everything from the LiDAR systems ...