Semantic segmentation is critical in medical image processing, with traditional specialist models facing adaptation challenges to new tasks or distribution shifts. While both generalist pre-trained ...
This project showcases a sophisticated pipeline for object detection and segmentation using a Vision-Language Model (VLM) and the Segment Anything Model 2 (SAM2). The core idea is to leverage the ...
Abstract: In this paper, we propose a novel approach to minimize the inference delay in semantic segmentation using split learning (SL), tailored to the needs of real-time computer vision (CV) ...
Weeks after a $100 billion agreement to use computer chips from Nvidia, OpenAI has signed a similar deal with a rival chipmaker. By Cade Metz Reporting from San Francisco Late last month, OpenAI ...
Computer vision continues to be one of the most dynamic and impactful fields in artificial intelligence. Thanks to breakthroughs in deep learning, architecture design and data efficiency, machines are ...
Abstract: Precise medical image segmentation is important for automating diagnosis and treatment planning in healthcare. While images present the most significant information for segmenting organs ...
Computer vision has emerged as one of the most transformative areas of artificial intelligence, with deep learning models driving unprecedented advancements in both theoretical understanding and ...
On the opening weekend of the 2025 Major League Baseball season last month, the New York Yankees turned heads by hitting a record-setting nine home runs in a game against the Milwaukee Brewers. The ...
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