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Wafer Map Defect Patterns Semi-Supervised Classification Using Latent
  Vector Representation

Wafer Map Defect Patterns Semi-Supervised Classification Using Latent Vector Representation

6 October 2023
Qiyu Wei
Wei Zhao
Xiaoyan Zheng
Zeng Zeng
ArXivPDFHTML

Papers citing "Wafer Map Defect Patterns Semi-Supervised Classification Using Latent Vector Representation"

5 / 5 papers shown
Title
Advanced Clustering Framework for Semiconductor Image Analytics Integrating Deep TDA with Self-Supervised and Transfer Learning Techniques
Advanced Clustering Framework for Semiconductor Image Analytics Integrating Deep TDA with Self-Supervised and Transfer Learning Techniques
Janhavi Giri
Attila Lengyel
Don Kent
Edward Kibardin
17
0
0
05 May 2025
Utilizing the Mean Teacher with Supcontrast Loss for Wafer Pattern
  Recognition
Utilizing the Mean Teacher with Supcontrast Loss for Wafer Pattern Recognition
Qiyu Wei
Xun Xu
Zeng Zeng
Xulei Yang
62
0
0
27 Nov 2024
Wafer Map Defect Classification Using Autoencoder-Based Data Augmentation and Convolutional Neural Network
Yin-Yin Bao
Er-Chao Li
Hong-Qiang Yang
Bin-Bin Jia
36
2
0
17 Nov 2024
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
20,561
0
17 Apr 2017
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
L. V. D. van der Maaten
Kilian Q. Weinberger
PINN
3DV
249
36,362
0
25 Aug 2016
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