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Automotive Parts Assessment: Applying Real-time Instance-Segmentation
  Models to Identify Vehicle Parts

Automotive Parts Assessment: Applying Real-time Instance-Segmentation Models to Identify Vehicle Parts

2 February 2022
S. Yusuf
Abdulmalik Aldawsari
R. Souissi
ArXivPDFHTML

Papers citing "Automotive Parts Assessment: Applying Real-time Instance-Segmentation Models to Identify Vehicle Parts"

3 / 3 papers shown
Title
Simple Copy-Paste is a Strong Data Augmentation Method for Instance
  Segmentation
Simple Copy-Paste is a Strong Data Augmentation Method for Instance Segmentation
Golnaz Ghiasi
Huayu Chen
A. Srinivas
Rui Qian
Nayeon Lee
E. D. Cubuk
Quoc V. Le
Barret Zoph
ISeg
252
969
0
13 Dec 2020
What is the State of Neural Network Pruning?
What is the State of Neural Network Pruning?
Davis W. Blalock
Jose Javier Gonzalez Ortiz
Jonathan Frankle
John Guttag
191
1,027
0
06 Mar 2020
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
950
20,567
0
17 Apr 2017
1