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MicroCrackAttentionNeXt: Advancing Microcrack Detection in Wave Field Analysis Using Deep Neural Networks through Feature Visualization
15 November 2024
Fatahlla Moreh
Yusuf Hasan
Bilal Zahid Hussain
Mohammad Ammar
Sven Tomforde
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Papers citing
"MicroCrackAttentionNeXt: Advancing Microcrack Detection in Wave Field Analysis Using Deep Neural Networks through Feature Visualization"
12 / 12 papers shown
Title
Unified Focal loss: Generalising Dice and cross entropy-based losses to handle class imbalanced medical image segmentation
Michael Yeung
Evis Sala
Carola-Bibiane Schönlieb
L. Rundo
71
407
0
08 Feb 2021
A survey of loss functions for semantic segmentation
Shruti Jadon
SSeg
67
840
0
26 Jun 2020
UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction
Leland McInnes
John Healy
James Melville
163
9,432
0
09 Feb 2018
Squeeze-and-Excitation Networks
Jie Hu
Li Shen
Samuel Albanie
Gang Sun
Enhua Wu
424
26,500
0
05 Sep 2017
Self-Normalizing Neural Networks
Günter Klambauer
Thomas Unterthiner
Andreas Mayr
Sepp Hochreiter
460
2,516
0
08 Jun 2017
Temporal Convolutional Networks: A Unified Approach to Action Segmentation
Colin S. Lea
René Vidal
A. Reiter
Gregory Hager
89
755
0
29 Aug 2016
Gaussian Error Linear Units (GELUs)
Dan Hendrycks
Kevin Gimpel
172
5,011
0
27 Jun 2016
Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)
Djork-Arné Clevert
Thomas Unterthiner
Sepp Hochreiter
300
5,524
0
23 Nov 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
1.8K
77,196
0
18 May 2015
Empirical Evaluation of Rectified Activations in Convolutional Network
Bing Xu
Naiyan Wang
Tianqi Chen
Mu Li
138
2,912
0
05 May 2015
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
VLM
326
18,625
0
06 Feb 2015
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAtt
MDE
1.6K
100,386
0
04 Sep 2014
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