Results 51 to 60 of about 758,831 (346)

Mountain Segmentation Based on Global Optimization with the Cloth Simulation Constraint

open access: yesRemote Sensing, 2023
Mountains are an important research object for surveying, mapping, cartography, space science, and ecological remote sensing. Automatic mountain segmentation is one of the most critical techniques in large-scale mountain analyses.
Lekang Wen, Jun He, Xu Huang
doaj   +1 more source

Towards Explainable Semantic Segmentation for Autonomous Driving Systems by Multi-Scale Variational Attention

open access: yesInternational 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

Micro-computed tomography pore-scale study of flow in porous media: Effect of voxel resolution [PDF]

open access: yes, 2015
A fundamental understanding of flow in porous media at the pore-scale is necessary to be able to upscale average displacement processes from core to reservoir scale. The study of fluid flow in porous media at the pore-scale consists of two key procedures:
Boek, E, Crawshaw, J, Gray, F, Shah, SMK
core   +1 more source

Ensembling Instance and Semantic Segmentation for Panoptic Segmentation [PDF]

open access: yesarXiv, 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  

Learning Rigid Image Registration - Utilizing Convolutional Neural Networks for Medical Image Registration [PDF]

open access: yes, 2018
Many traditional computer vision tasks, such as segmentation, have seen large step-changes in accuracy and/or speed with the application of Convolutional Neural Networks (CNNs).
Goatman, K.A.   +2 more
core   +1 more source

A Theory of Stable Market Segmentations [PDF]

open access: yesarXiv, 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  

Quantification of sub-resolution porosity in carbonate rocks by applying high-salinity contrast brine using X-ray microtomography differential imaging [PDF]

open access: yes, 2016
Characterisation of the pore space in carbonate reservoirs and aquifers is of utmost importance in a number of applications such as enhanced oil recovery, geological carbon storage and contaminant transport. We present a new experimental methodology that
Al-Khulaifi, Y   +3 more
core   +1 more source

Temporal Segment Transformer for Action Segmentation [PDF]

open access: yesarXiv, 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  

Zipping Segment Trees [PDF]

open access: yes, 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

A TV flow based local scale estimate and its application to texture discrimination [PDF]

open access: yes, 2005
This paper presents a local region based scale measure, which exploits properties of a certain type of nonlinear diffusion, the so-called total variation (TV) flow.
Brox, Thomas, Weickert, Joachim
core   +3 more sources

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