Using a custom "camera-to-rice" platform combined with deep-learning methods for feature extraction, matching, segmentation, and denoising, the system ...

Master’s thesis position (M.Sc. student) in Deep Learning for Healthcare.

remove-circle Internet Archive's in-browser video "theater" requires JavaScript to be enabled. It appears your browser does not have it turned on. Please see your ...

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 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 ...

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 ...

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 ...

Transformer-based Models in Segmentation tasks have initiated a new transformation in the Computer Vision realm. Meta’s Segment Anything Model has proven to be a benchmark due to its robust and ...