Balanced Semi-Supervised Generative Adversarial Network for Damage Assessment from Low-Data Imbalanced-Class Regime

29 November 2022

Papers citing "Balanced Semi-Supervised Generative Adversarial Network for Damage Assessment from Low-Data Imbalanced-Class Regime"

5 / 5 papers shown

Title
GANetic Loss for Generative Adversarial Networks with a Focus on Medical Applications S. Akhmedova Nils Körber GAN MedIm 28 0 0 07 Jun 2024
Deep Learning in Earthquake Engineering: A Comprehensive Review Yazhou Xie AI4CE 27 5 0 15 May 2024
Sample-efficient Quantum Born Machine through Coding Rate Reduction Pengyuan Zhai 34 0 0 14 Nov 2022
Image-based monitoring of bolt loosening through deep-learning-based integrated detection and tracking Xiao Pan Tony T. Y. Yang 9 50 0 16 Nov 2021
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