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

Advancing Controllable Diffusion Model for Few-Shot Object Detection in Optical Remote Sensing Imagery

Abstract: Few-shot object detection (FSOD) from optical remote sensing imagery has to detect rare objects given only a few annotated bounding boxes. The limited training data is hard to represent the ...