The system was tested against representative drone scenarios, including detection, tracking, and dynamic target movement, and ...
Abstract: A recently developed application of computer vision is pathfinding in self-driving cars. Semantic scene understanding and semantic segmentation, as subfields of computer vision, are widely ...
New AI visual perception framework combining DINOv3 and Mask2Former tops 56 teams in GOOSE 2D semantic segmentation at the ICRA 2026 field robotics workshop Team led by Prof. Sung-Hoon Yoon (left) of ...
A joint Korean-American research team has taken first place at the world's most prestigious robotics conference, defeating 56 competing teams from around t ...
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) ...
The official code repo for the paper Stochastic Segmentation with Conditional Categorical Diffusion Models, accepted at the International Conference on Computer Vision (ICCV) 2023. Semantic ...
Abstract: Recent advances in foundational Vision Language Models (VLMs) have reshaped the evaluation paradigm in computer vision tasks. These foundational models, especially CLIP, have accelerated ...
1 Institute of Artificial Intelligence, School of Computer Science, Wuhan University, Wuhan, China. 2 Landing Artificial Intelligence Center for Pathological Diagnosis, Wuhan University, Wuhan, China.
Semantic segmentation is an area of computer vision that specialises in dividing an image into regions based on pixel characteristics to identify objects or boundaries, simplifying image analysis. The ...
Segmentation and classification are fundamental tasks in image analysis and computer vision. In addition to having ubiquitous applications in a variety of different fields, segmentation and ...
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