description [CVPR 2026][Object Detection][Open World Object Detection] Ours proposes the DEUS framework, which effectively separates known, unknown, and background proposals in geometrically ...
Abstract: Recently, new paradigms of camouflaged object detection (COD), such as referring COD (Ref-COD) and collaborative COD (Co-COD), have been proposed to enhance task performance. However, there ...
A tool for spotting pancreatic cancer in routine CT scans has had promising results, one example of how China is racing to apply A.I. to medicine’s tough problems. Self-service kiosks at the ...
You're lazing around the living room after a big holiday meal, when your uncle starts flipping through vertical videos. "Did you see that one of the cat snatching that snake out of a dude's bed?" he ...
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 ...
As nearly half of all Australians say they have recently used artificial intelligence (AI) tools, knowing when and how they’re being used is becoming more important. Consultancy firm Deloitte recently ...
Abstract: Source-Free Object Detection (SFOD) enables knowledge transfer from a source domain to an unsupervised target domain for object detection without access to source data. Most existing SFOD ...
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This is a repository dedicated to small object detection and tracking. It collects papers on small object detection/tracking from various conferences and journals, methods for small object detection ...
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