Improving Prediction Accuracy of Semantic Segmentation Methods Using Convolutional Autoencoder Based Pre-processing Layers

19 April 2024

Papers citing "Improving Prediction Accuracy of Semantic Segmentation Methods Using Convolutional Autoencoder Based Pre-processing Layers"

7 / 7 papers shown

Title
A Comprehensive Survey on Transfer Learning Fuzhen Zhuang Zhiyuan Qi Keyu Duan Dongbo Xi Yongchun Zhu Hengshu Zhu Hui Xiong Qing He 119 4,395 0 07 Nov 2019
Pyramid Scene Parsing Network Hengshuang Zhao Jianping Shi Xiaojuan Qi Xiaogang Wang Jiaya Jia VOS SSeg 127 11,941 0 04 Dec 2016
The Cityscapes Dataset for Semantic Urban Scene Understanding Marius Cordts Mohamed Omran Sebastian Ramos Timo Rehfeld Markus Enzweiler Rodrigo Benenson Uwe Franke Stefan Roth Bernt Schiele 295 11,540 0 06 Apr 2016
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification Kaiming He Xinming Zhang Shaoqing Ren Jian Sun VLM 37 18,534 0 06 Feb 2015
How transferable are features in deep neural networks? J. Yosinski Jeff Clune Yoshua Bengio Hod Lipson OOD 40 8,309 0 06 Nov 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 369 99,991 0 04 Sep 2014
Generalized Denoising Auto-Encoders as Generative Models Yoshua Bengio L. Yao Guillaume Alain Pascal Vincent 62 537 0 29 May 2013