Nvidia releases DreamDojo, a robot ‘world model’ trained on 44,000 hours of human video

Nvidia-led researchers unveiled DreamDojo, a robot “world model” trained on 44,000 hours of human egocentric video to help ...
IEEE

MF-MOS: A Motion-Focused Model for Moving Object Segmentation

Abstract: Moving object segmentation (MOS) provides a reliable solution for detecting traffic participants and thus is of great interest in the autonomous driving field. Dynamic capture is always ...

Waymo leverages Genie 3 to create a world model for self-driving cars

Google-spinoff Waymo is in the midst of expanding its self-driving car fleet into new regions. Waymo touts more than 200 million miles of driving that informs how the vehicles navigate roads, but the ...
IEEE

SMN-YOLO: Lightweight YOLOv8-Based Model for Small Object Detection in Remote Sensing Images

Abstract: The remote sensing image object detection has advanced significantly; yet, small object detection remains challenging due to their limited size and varying scales. Furthermore, real-world ...