Results 51 to 60 of about 736,814 (346)
Enhanced Automatic Identification of Urban Community Green Space Based on Semantic Segmentation
Land, 2022 At the neighborhood scale, recognizing urban community green space (UCGS) is important for residential living condition assessment and urban planning. However, current studies have embodied two key issues.
Jiangxi Chen +6 more
semanticscholar +1 more source
Annals of Clinical and Translational Neurology, Volume 9, Issue 12, Page 1962-1973, December 2022., 2022 Abstract Objectives Early‐ and late‐onset Alzheimer's disease (EOAD and LOAD) share the same neuropathological traits but show distinct cognitive features. We aimed to explore baseline and longitudinal outcomes of global and domain‐specific cognitive function in a well characterized cohort of patients with a biomarker‐based diagnosis.
Adrià Tort‐Merino +16 more
wiley +1 more source
Combining Contrast Invariant L1 Data Fidelities with Nonlinear Spectral Image Decomposition [PDF]
, 2017 This paper focuses on multi-scale approaches for variational methods and corresponding gradient flows. Recently, for convex regularization functionals such as total variation, new theory and algorithms for nonlinear eigenvalue problems via nonlinear ...
A Chambolle +22 more
core +3 more sources
International Conference on Autonomic and Autonomous Systems, 2021 Explainable autonomous driving systems (EADS) are emerging recently as a combination of explainable artificial intelligence (XAI) and vehicular automation (VA).
Mohanad Abukmeil +4 more
semanticscholar +1 more source
DroTrack: High-speed Drone-based Object Tracking Under Uncertainty
, 2020 We present DroTrack, a high-speed visual single-object tracking framework for drone-captured video sequences. Most of the existing object tracking methods are designed to tackle well-known challenges, such as occlusion and cluttered backgrounds.
Hamdi, Ali, Kim, Du Yong, Salim, Flora
core +1 more source
Identifying Components in 3D Density Maps of Protein Nanomachines by Multi-scale Segmentation [PDF]
, 2009 Segmentation of density maps obtained using cryo-electron microscopy (cryo-EM) is a challenging task, and is typically accomplished by time-intensive interactive methods.
Chiu, Wah +3 more
core +1 more source
Coarse-to-Fine Segmentation with Shape-Tailored Continuum Scale Spaces [PDF]
2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017 We formulate an energy for segmentation that is designed to have preference for segmenting the coarse over fine structure of the image, without smoothing across boundaries of regions. The energy is formulated by integrating a continuum of scales from a scale space computed from the heat equation within regions.
Anthony Yezzi +3 more
openaire +2 more sources
3D Neighborhood Convolution: Learning Depth-Aware Features for RGB-D and RGB Semantic Segmentation [PDF]
, 2019 A key challenge for RGB-D segmentation is how to effectively incorporate 3D geometric information from the depth channel into 2D appearance features. We propose to model the effective receptive field of 2D convolution based on the scale and locality from
Chen, Yunlu +2 more
core +2 more sources
Ensembling Instance and Semantic Segmentation for Panoptic Segmentation [PDF]
arXiv, 2023 We demonstrate our solution for the 2019 COCO panoptic segmentation task. Our method first performs instance segmentation and semantic segmentation separately, then combines the two to generate panoptic segmentation results. To enhance the performance, we add several expert models of Mask R-CNN in instance segmentation to tackle the data imbalance ...
arxiv
Automated Visual Fin Identification of Individual Great White Sharks [PDF]
, 2016 This paper discusses the automated visual identification of individual great white sharks from dorsal fin imagery. We propose a computer vision photo ID system and report recognition results over a database of thousands of unconstrained fin images.
Burghardt, Tilo, Hughes, Benjamin
core +2 more sources