Results 61 to 70 of about 91,320 (301)
3D Point Cloud Instance Segmentation Considering Global Shape Contour Constraints
Remote Sensing, 2023 Aiming to solve the problem that spatially distributed similar instances cannot be distinguished in 3D point cloud instance segmentation, a 3D point cloud instance segmentation network, considering the global shape contour, was proposed.
Jiabin Xv, Fei Deng
doaj +1 more source
Foveated Instance Segmentation
2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)Instance segmentation is essential for augmented reality and virtual reality (AR/VR) as it enables precise object recognition and interaction, enhancing the integration of virtual and real-world elements for an immersive experience. However, the high computational overhead of segmentation limits its application on resource-constrained AR/VR devices ...
Hongyi Zeng +5 more
openaire +2 more sources
A survey on instance segmentation: state of the art [PDF]
International Journal of Multimedia Information Retrieval, 2020 Int J Multimed Info Retr (2020)
Abdul Mueed Hafiz, Ghulam Mohiuddin Bhat
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Children with sickle cell disease (SCD) face multiple acute and chronic medical complications that may impact their quality of life as reported by patients themselves. Health‐related social needs (HRSNs), such as food and housing insecurity, are common in people with SCD, but the association between HRSNs and patient‐reported ...
Sarah J. Marks +5 more
wiley +1 more source
Scalable Instance Segmentation for Microscopy [PDF]
, 2021 Modern microscopy techniques acquire images at very high rates, high spatial resolution and with a large field of view. To analyze the large image data-sets acquired with such microscopes, accurate and scalable automated analysis is desperately needed.
Pape, Constantin
core +1 more source
Remote Sensing, 2023 Instance segmentation in remote sensing (RS) imagery aims to predict the locations of instances and represent them with pixel-level masks. Thanks to the more accurate pixel-level information for each instance, instance segmentation has enormous potential
Man Chen +6 more
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Cerebellar ataxia after pediatric brain tumor treatment can cause persistent gait, balance, and speech impairment, yet no established rehabilitation strategy exists. Somato‐cognitive coordination therapy (SCCT) is a virtual reality–guided intervention designed to promote sensorimotor integration through visually constrained reaching
Masanobu Takeuchi +10 more
wiley +1 more source
CenterInst: Center-Based Real-Time Instance Segmentation
Applied SciencesInstance segmentation is a computer vision task that aims to give each pixel in an image an instance-specific label. Recently, researchers have shown growing interest in real-time instance segmentation. In this paper, we propose a novel center-based real-
Shu Tian, Liang Ren
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Study on Unsupervised Instance Segmentation Models for Person Re-Identification [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information SciencesUnsupervised instance segmentation for person re-identification is mainly used in challenging cases such as occluded person re-identification and 3D re-identification. Furthermore, unsupervised instance segmentation can be considered as an auxiliary cue,
M. N. Favorskaya, M. V. Savkov
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Type 1 plasminogen deficiency (PLGD‐1) is an ultra‐rare autosomal recessive disorder caused by variants in the PLG gene and affects approximately 1.6 individuals per million. The condition is characterized by decreased plasminogen levels and impaired function, resulting in fibrin‐rich lesions on mucous membranes throughout the body.
Charles Nakar +7 more
wiley +1 more source