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EfficientCrackNet: A Lightweight Model for Crack Segmentation

EfficientCrackNet: A Lightweight Model for Crack Segmentation

26 September 2024
Abid Hasan Zim
Aquib Iqbal
Zaid Al-Huda
Asad U. Malik
Minoru Kuribayash
ArXivPDFHTML

Papers citing "EfficientCrackNet: A Lightweight Model for Crack Segmentation"

20 / 20 papers shown
Title
EAViT: External Attention Vision Transformer for Audio Classification
EAViT: External Attention Vision Transformer for Audio Classification
Aquib Iqbal
Abid Hasan Zim
Md Asaduzzaman Tonmoy
Limengnan Zhou
Asad U. Malik
Minoru Kuribayashi
ViT
53
1
0
23 Aug 2024
A Good Student is Cooperative and Reliable: CNN-Transformer
  Collaborative Learning for Semantic Segmentation
A Good Student is Cooperative and Reliable: CNN-Transformer Collaborative Learning for Semantic Segmentation
Jinjing Zhu
Yuan Luo
Xueye Zheng
Hao Wang
Lin Wang
47
34
0
24 Jul 2023
Semi-Supervised Medical Image Segmentation via Cross Teaching between
  CNN and Transformer
Semi-Supervised Medical Image Segmentation via Cross Teaching between CNN and Transformer
Xiangde Luo
Minhao Hu
Tao Song
Guotai Wang
Shaoting Zhang
ViT
MedIm
48
206
0
09 Dec 2021
Masked-attention Mask Transformer for Universal Image Segmentation
Masked-attention Mask Transformer for Universal Image Segmentation
Bowen Cheng
Ishan Misra
Alex Schwing
Alexander Kirillov
Rohit Girdhar
ISeg
245
2,364
0
02 Dec 2021
MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision
  Transformer
MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer
Sachin Mehta
Mohammad Rastegari
ViT
285
1,271
0
05 Oct 2021
UNetFormer: A UNet-like Transformer for Efficient Semantic Segmentation
  of Remote Sensing Urban Scene Imagery
UNetFormer: A UNet-like Transformer for Efficient Semantic Segmentation of Remote Sensing Urban Scene Imagery
Libo Wang
Rui Li
Ce Zhang
Shenghui Fang
Chenxi Duan
Xiaoliang Meng
P. M. Atkinson
ViT
65
661
0
18 Sep 2021
SegFormer: Simple and Efficient Design for Semantic Segmentation with
  Transformers
SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers
Enze Xie
Wenhai Wang
Zhiding Yu
Anima Anandkumar
J. Álvarez
Ping Luo
ViT
279
5,030
0
31 May 2021
Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation
Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation
Hu Cao
Yueyue Wang
Jieneng Chen
Dongsheng Jiang
Xiaopeng Zhang
Qi Tian
Manning Wang
ViT
MedIm
129
2,903
0
12 May 2021
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
Ze Liu
Yutong Lin
Yue Cao
Han Hu
Yixuan Wei
Zheng Zhang
Stephen Lin
B. Guo
ViT
447
21,418
0
25 Mar 2021
A survey of loss functions for semantic segmentation
A survey of loss functions for semantic segmentation
Shruti Jadon
SSeg
64
839
0
26 Jun 2020
Depthwise Convolution is All You Need for Learning Multiple Visual
  Domains
Depthwise Convolution is All You Need for Learning Multiple Visual Domains
Yunhui Guo
Yandong Li
Rogerio Feris
Liqiang Wang
Tajana Simunic
OOD
70
150
0
03 Feb 2019
Feature Pyramid and Hierarchical Boosting Network for Pavement Crack
  Detection
Feature Pyramid and Hierarchical Boosting Network for Pavement Crack Detection
Fan Yang
Lei Zhang
Sijia Yu
Danil Prokhorov
Xue Mei
Haibin Ling
50
712
0
18 Jan 2019
ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture
  Design
ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design
Ningning Ma
Xiangyu Zhang
Haitao Zheng
Jian Sun
174
4,990
0
30 Jul 2018
CBAM: Convolutional Block Attention Module
CBAM: Convolutional Block Attention Module
Sanghyun Woo
Jongchan Park
Joon-Young Lee
In So Kweon
224
16,553
0
17 Jul 2018
Encoder-Decoder with Atrous Separable Convolution for Semantic Image
  Segmentation
Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
Liang-Chieh Chen
Yukun Zhu
George Papandreou
Florian Schroff
Hartwig Adam
SSeg
439
13,132
0
07 Feb 2018
MobileNetV2: Inverted Residuals and Linear Bottlenecks
MobileNetV2: Inverted Residuals and Linear Bottlenecks
Mark Sandler
Andrew G. Howard
Menglong Zhu
A. Zhmoginov
Liang-Chieh Chen
181
19,284
0
13 Jan 2018
Squeeze-and-Excitation Networks
Squeeze-and-Excitation Networks
Jie Hu
Li Shen
Samuel Albanie
Gang Sun
Enhua Wu
424
26,500
0
05 Sep 2017
ShuffleNet: An Extremely Efficient Convolutional Neural Network for
  Mobile Devices
ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices
Xiangyu Zhang
Xinyu Zhou
Mengxiao Lin
Jian Sun
AI4TS
138
6,872
0
04 Jul 2017
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision
  Applications
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Andrew G. Howard
Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
Tobias Weyand
M. Andreetto
Hartwig Adam
3DH
1.1K
20,837
0
17 Apr 2017
Training Region-based Object Detectors with Online Hard Example Mining
Training Region-based Object Detectors with Online Hard Example Mining
Abhinav Shrivastava
Abhinav Gupta
Ross B. Girshick
ObjD
148
2,418
0
12 Apr 2016
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