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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) ...

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 ...

This repo contains implementations of some of the classical computer vision algorithms/techniques for feature extraction, feature matching, image transformation, color image reconstruction, image ...

Computer vision artificial intelligence can improve patient care, but reaping its full benefits relies on careful training, data protection and validation by medical professionals. Computer vision is ...

Abstract: As a major research topic in the innovation of intelligent video surveillance technology, image segmentation based on moving objects is also a focus of researchers in the development of the ...

Panoptic segmentation plays a crucial role in enabling robots to comprehend their surroundings, providing fine-grained scene understanding information for robots' intelligent tasks. Although existing ...

Azure Computer Vision Research (ACVR) group is part of the Azure AI Cognitive Services Research (CSR) group, focusing on cutting edge research in computer vision to advance the state of the art and ...

In recent years, substantial progress has been made in generating photorealistic human representations in both 2D and 3D, thanks to advancements in the precise estimation of various visual assets.