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Frontiers of Computer Vision

Overview of attention for book
Cover of 'Frontiers of Computer Vision'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 6D Pose Estimation of Transparent Objects Using Synthetic Data
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    Chapter 2 Color Exaggeration for Dichromats Using Weighted Edge
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    Chapter 3 Uncalibrated Photometric Stereo Using Superquadrics with Texture Estimation
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    Chapter 4 3D Shape Reconstruction of Japanese Traditional Puppet Head from CT Images
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    Chapter 5 Multi-band Photometric Stereo Using Random Sampling of Channels and Pixels
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    Chapter 6 Online Illumination Planning for Shadow-Robust Photometric Stereo
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    Chapter 7 Decomposition of Invariant and Variant Features by Using Convolutional Autoencoder
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    Chapter 8 Deep Automatic Control of Learning Rates for GANs
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    Chapter 9 Multimodal Pseudo-Labeling Under Various Shooting Conditions: Case Study on RGB and IR Images
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    Chapter 10 Convolutional Neural Network Design for Eye Detection Under Low-Illumination
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    Chapter 11 Pedestrian Head Detection and Tracking via Global Vision Transformer
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    Chapter 12 Proposal of a Method to Identify Vascular Endothelial Cells from Images of Mouse Myocardial Tissue
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    Chapter 13 Improved Facial Keypoint Regression Using Attention Modules
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    Chapter 14 Video Object Segmentation Based on Guided Feature Transfer Learning
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    Chapter 15 Improvement of On-Road Object Detection Using Inter-region and Intra-region Attention for Faster R-CNN
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    Chapter 16 Deep Segmentation Network Without Mask Image Supervision for 2D Image Registration
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    Chapter 17 Lightweight Encoder-Decoder Architecture for Foot Ulcer Segmentation
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    Chapter 18 Implementation of Digital Transformation for Korean Traditional Heritage
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    Chapter 19 Facial Mask Region Completion Using StyleGAN2 with a Substitute Face of the Same Person
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    Chapter 20 Generation of Omnidirectional Image Without Photographer
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    Chapter 21 Optimization of Re-ranking Based on k-Reciprocal for Vehicle Re-identification
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    Chapter 22 Sequence Recognition of Indoor Tennis Actions Using Transfer Learning and Long Short-Term Memory
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    Chapter 23 Multi-region Based Radial GCN Algorithm for Human Action Recognition
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    Chapter 24 Impression Estimation Model of 3D Objects Using Multi-View Convolutional Neural Network
Attention for Chapter 17: Lightweight Encoder-Decoder Architecture for Foot Ulcer Segmentation
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

twitter
3 X users

Citations

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1 Dimensions

Readers on

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6 Mendeley
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Chapter title
Lightweight Encoder-Decoder Architecture for Foot Ulcer Segmentation
Chapter number 17
Book title
Frontiers of Computer Vision
Published in
arXiv, July 2022
DOI 10.1007/978-3-031-06381-7_17
Book ISBNs
978-3-03-106380-0, 978-3-03-106381-7
Authors

Shahzad Ali, Arif Mahmood, Soon Ki Jung, Ali, Shahzad, Mahmood, Arif, Jung, Soon Ki

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 33%
Lecturer 1 17%
Lecturer > Senior Lecturer 1 17%
Unknown 2 33%
Readers by discipline Count As %
Computer Science 2 33%
Engineering 2 33%
Unknown 2 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 07 July 2022.
All research outputs
#15,185,041
of 24,093,053 outputs
Outputs from arXiv
#295,510
of 1,020,419 outputs
Outputs of similar age
#210,597
of 422,544 outputs
Outputs of similar age from arXiv
#10,287
of 35,922 outputs
Altmetric has tracked 24,093,053 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,020,419 research outputs from this source. They receive a mean Attention Score of 4.0. This one has gotten more attention than average, scoring higher than 66% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 422,544 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 35,922 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.