Results 61 to 70 of about 736,814 (346)
Energy minimization segmentation model based on MRI images
Frontiers in Neuroscience, 2023 IntroductionMedical image segmentation is an important tool for doctors to accurately analyze the volume of brain tissue and lesions, which is important for the correct diagnosis of brain diseases.
Xiuxin Wang +7 more
doaj +1 more source
A Theory of Stable Market Segmentations [PDF]
arXiv, 2022 We consider a monopolistic seller in a market that may be segmented. The surplus of each consumer in a segment depends on the price that the seller optimally charges, which depends on the set of consumers in the segment. We study which segmentations may result from the interaction among consumers and the seller. Instead of studying the interaction as a
arxiv
, 2020 Stabbing queries in sets of intervals are usually answered using segment trees. A dynamic variant of segment trees has been presented by van Kreveld and Overmars, which uses red-black trees to do rebalancing operations. This paper presents zipping segment trees - dynamic segment trees based on zip trees, which were recently introduced by Tarjan et al ...
arxiv +1 more source
Large-Scale Interactive Object Segmentation With Human Annotators [PDF]
Computer Vision and Pattern Recognition, 2019 Manually annotating object segmentation masks is very time consuming. Interactive object segmentation methods offer a more efficient alternative where a human annotator and a machine segmentation model collaborate.
Rodrigo Benenson, S. Popov, V. Ferrari
semanticscholar +1 more source
Temporal Segment Transformer for Action Segmentation [PDF]
arXiv, 2023 Recognizing human actions from untrimmed videos is an important task in activity understanding, and poses unique challenges in modeling long-range temporal relations. Recent works adopt a predict-and-refine strategy which converts an initial prediction to action segments for global context modeling.
arxiv
A One Stop 3D Target Reconstruction and multilevel Segmentation Method [PDF]
arXiv, 2023 3D object reconstruction and multilevel segmentation are fundamental to computer vision research. Existing algorithms usually perform 3D scene reconstruction and target objects segmentation independently, and the performance is not fully guaranteed due to the challenge of the 3D segmentation.
arxiv
An Alarm System For Segmentation Algorithm Based On Shape Model
, 2019 It is usually hard for a learning system to predict correctly on rare events that never occur in the training data, and there is no exception for segmentation algorithms. Meanwhile, manual inspection of each case to locate the failures becomes infeasible
Liu, Fengze +4 more
core +1 more source
BMC Bioinformatics, 2022 Background Glaucoma can cause irreversible blindness to people’s eyesight. Since there are no symptoms in its early stage, it is particularly important to accurately segment the optic disc (OD) and optic cup (OC) from fundus medical images for the ...
Yun Jiang +4 more
doaj +1 more source
International Journal of Adaptive Control and Signal Processing, EarlyView., 2023 Summary In this contribution, we propose a detailed study of interpolation‐based data‐driven methods that are of relevance in the model reduction and also in the systems and control communities. The data are given by samples of the transfer function of the underlying (unknown) model, that is, we analyze frequency‐response data.
Quirin Aumann, Ion Victor Gosea
wiley +1 more source
3D-BEVIS: Bird's-Eye-View Instance Segmentation
, 2019 Recent deep learning models achieve impressive results on 3D scene analysis tasks by operating directly on unstructured point clouds. A lot of progress was made in the field of object classification and semantic segmentation.
A Dai +4 more
core +1 more source