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Understanding the Ability of Deep Neural Networks to Count Connected
  Components in Images

Understanding the Ability of Deep Neural Networks to Count Connected Components in Images

5 January 2021
Shuyue Guan
Murray H. Loew
ArXivPDFHTML

Papers citing "Understanding the Ability of Deep Neural Networks to Count Connected Components in Images"

2 / 2 papers shown
Title
Forged Image Detection using SOTA Image Classification Deep Learning
  Methods for Image Forensics with Error Level Analysis
Forged Image Detection using SOTA Image Classification Deep Learning Methods for Image Forensics with Error Level Analysis
Raunak Joshi
Abhishek Gupta
Nandan Kanvinde
P. Ghonge
25
3
0
28 Nov 2022
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image
  Segmentation
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
Vijay Badrinarayanan
Alex Kendall
R. Cipolla
SSeg
435
15,595
0
02 Nov 2015
1