Results 61 to 70 of about 172,393 (261)

Quasi-Equilibrium Feature Pyramid Network for Salient Object Detection

open access: yesIEEE Transactions on Image Processing, 2022
Modern saliency detection models are based on the encoder-decoder framework and they use different strategies to fuse the multi-level features between the encoder and decoder to boost representation power. Motivated by recent work in implicit modelling, we propose to introduce an implicit function to simulate the equilibrium state of the feature ...
Song, Yue   +5 more
openaire   +3 more sources

Super‐Refractory Status Epilepticus (SRSE) in a Patient With Compound Heterozygous OPA1 Variants: Case Report and Literature Review

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Super‐Refractory Status Epilepticus (SRSE) is a rare, life‐threatening neurological emergency with unclear etiology in many cases. Mitochondrial dysfunction, often due to disease‐causing genetic variants, is increasingly recognized as a cause, with each gene producing distinct pathophysiological mechanisms.
Pouria Mohammadi   +2 more
wiley   +1 more source

Learning Feature Pyramids for Human Pose Estimation

open access: yes, 2017
Articulated human pose estimation is a fundamental yet challenging task in computer vision. The difficulty is particularly pronounced in scale variations of human body parts when camera view changes or severe foreshortening happens.
Li, Hongsheng   +4 more
core   +1 more source

Variably Protease‐Sensitive Prionopathy: Two New Cases With Motor Neuron‐Dementia Syndrome

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT We describe two patients with variably protease‐sensitive prionopathy (VPSPr) who developed progressive upper motor neuron symptoms, insomnia, behavioral and cognitive decline, compatible with primary lateral sclerosis associated with frontotemporal dementia (FTD).
María Elena Erro   +10 more
wiley   +1 more source

Efficient adaptive feature aggregation network for low-light image enhancement.

open access: yesPLoS ONE, 2022
Existing learning-based methods for low-light image enhancement contain a large number of redundant features, the enhanced images lack detail and have strong noises. Some methods try to combine the pyramid structure to learn features from coarse to fine,
Canlin Li   +4 more
doaj   +1 more source

Von Economo Neuron Loss in Frontotemporal Dementia: A Meta‐Analysis of Neuropathological Studies

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Von Economo neurons (VENs) have been reported to be vulnerable to neurodegeneration in frontotemporal dementia (FTD), particularly the behavioral variant (bvFTD), but these findings have not been systematically assessed across independent brain banks.
Daniel Talmasov   +2 more
wiley   +1 more source

Texture classification using Steerable Pyramid based Laws’ Masks

open access: yesJournal of Electrical Systems and Information Technology, 2017
This paper progress towards a new feature extraction technique by combining the two existing methods named as Laws’ mask and steerable pyramid for texture classification. Texture parameters are derived and classified for accepted Laws’ mask method.
Sonali Dash, Uma Ranjan Jena
doaj   +1 more source

Decoupled Feature Pyramid Learning for Multi-Scale Object Detection in Low-Altitude Remote Sensing Images

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023
Recently, low-altitude remote sensing platforms are widely used for various practical applications. Object detection is a basic and significant technology, serving them.
Haokai Sun   +3 more
doaj   +1 more source

Improving Students Reading Comprehension on Narrative Text Through Story Pyramid Strategy [PDF]

open access: yes, 2013
This research is intended to answer the problem about how does story pyramid improve reading comprehension on finding out factual or detail information and understanding language feature on narrative text to the tenth grade students of SMA Muhammadiyah 2
Apriliaswati, R. (Rahayu)   +2 more
core   +1 more source

Deformable Part Models are Convolutional Neural Networks

open access: yes, 2014
Deformable part models (DPMs) and convolutional neural networks (CNNs) are two widely used tools for visual recognition. They are typically viewed as distinct approaches: DPMs are graphical models (Markov random fields), while CNNs are "black-box" non ...
Darrell, Trevor   +3 more
core   +1 more source

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