Results 61 to 70 of about 58,990 (298)
WAILS: Watershed Algorithm With Image-Level Supervision for Weakly Supervised Semantic Segmentation
IEEE Access, 2019 Image semantic segmentation has great development in many fields, and the lack of fully supervised segmentation labels has always been a major problem in the development of image semantic segmentation.
Hongming Zhou +4 more
doaj +1 more source
, 2015 major update including new COCO data, metrics, and ...
Zhu, Yan +3 more
openaire +2 more sources
Grounding Large Language Models for Robot Task Planning Using Closed‐Loop State Feedback
Advanced Robotics Research, EarlyView.BrainBody‐Large Language Model (LLM) introduces a hierarchical, feedback‐driven planning framework where two LLMs coordinate high‐level reasoning and low‐level control for robotic tasks. By grounding decisions in real‐time state feedback, it reduces hallucinations and improves task reliability.
Vineet Bhat +4 more
wiley +1 more source
Semantic Diffusion Network for Semantic Segmentation
, 2023 Precise and accurate predictions over boundary areas are essential for semantic segmentation. However, the commonly-used convolutional operators tend to smooth and blur local detail cues, making it difficult for deep models to generate accurate boundary predictions.
Tan, Haoru, Wu, Sitong, Pi, Jimin
openaire +2 more sources
Attend and Segment: Attention Guided Active Semantic Segmentation [PDF]
, 2020 In a dynamic environment, an agent with a limited field of view/resource cannot fully observe the scene before attempting to parse it. The deployment of common semantic segmentation architectures is not feasible in such settings. In this paper we propose a method to gradually segment a scene given a sequence of partial observations. The main idea is to
Seifi, Soroush, Tuytelaars, Tinne
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Advanced Science, EarlyView.Single‐nucleus multi‐omics profiling of sinonasal squamous cell carcinoma unveils a hypoxia‐driven angiogenic axis. A specific hypoxic tumor subpopulation orchestrates endothelial tip cell differentiation via epigenetically regulated ADM and VEGFA secretion.
Chaelin You +12 more
wiley +1 more source
Deep structured features for semantic segmentation [PDF]
2017 25th European Signal Processing Conference (EUSIPCO), 2017 We propose a highly structured neural network architecture for semantic segmentation with an extremely small model size, suitable for low-power embedded and mobile platforms. Specifically, our architecture combines i) a Haar wavelet-based tree-like convolutional neural network (CNN), ii) a random layer realizing a radial basis function kernel ...
Tschannen, Michael +4 more
openaire +2 more sources
Advanced Science, EarlyView.FLARE, a multimodal AI framework, combines pathology slides, radiology scans, and clinical reports to predict colorectal cancer outcomes, even when some tests are missing. Evaluated retrospectively in 1679 patients from four medical centers, it consistently achieved the best prognostic accuracy and clearly separated high‐ and low‐risk groups.
Linhao Qu +6 more
wiley +1 more source
Real-Time Semantic Clothing Segmentation [PDF]
, 2012 Clothing segmentation is a challenging field of research which is rapidly gaining attention. This paper presents a system for semantic segmentation of primarily monochromatic clothing and printed/stitched textures in single images or live video. This is especially appealing to emerging augmented reality applications such as retexturing sports players ...
Cushen, George, Nixon, Mark S.
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Fully convolutional networks for semantic segmentation [PDF]
2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015 to appear in PAMI (accepted May, 2016); journal edition of arXiv:1411 ...
Evan Shelhamer +2 more
openaire +4 more sources