Abstract: Traditional real-time object detection networks deployed in autonomous aerial vehicles (AAVs) struggle to extract features from small objects in complex backgrounds with occlusions and ...
Astronomers have detected a massive object moving in a synchronized path behind Earth. Early measurements suggest it has been trailing the planet longer than previously assumed. Its trajectory does ...
Meta Platforms Inc. today is expanding its suite of open-source Segment Anything computer vision models with the release of SAM 3 and SAM 3D, introducing enhanced object recognition and ...
S3OD is a large-scale fully synthetic dataset for salient object detection and background removal, with 140K high-quality images generated using diffusion models. Our model, trained on large-scale ...
Dark matter is believed to make up more than 80 percent of all matter in the universe, but what it actually is remains a mystery. Now, astronomers have found something that gives us a major clue. This ...
Abstract: Object detection in unpiloted aerial vehicle (UAV) imagery has been widely applied across various domains. However, the typically small size and uneven spatial distribution of objects in UAV ...
Scientists at Tarim University of China have proposed a way to address the challenging problem of pose recognition for photovoltaic panel cleaning robots. Their novel solution is based on a low power ...
ABSTRACT: In recent decades, the impact of climate change on natural resources has increased. However, the main challenges associated with the collection of meteorological data include the presence of ...
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