Search Results - "Encoder and decoder network"

Two-stage convolutional encoder-decoder network to improve the performance and reliability of deep learning models for topology optimization by Ates, Gorkem Can, Gorguluarslan, Recep M.

“…A vital necessity when employing state-of-the-art deep neural networks (DNNs) for topology optimization is to predict near-optimal structures while satisfying…”
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Nonrigid Structure-From-Motion via Differential Geometry With Recoverable Conformal Scale by Chen, Yongbo, Zhang, Yanhao, Parashar, Shaifali, Zhao, Liang, Huang, Shoudong

“…Nonrigid structure-from-motion (NRSfM), a promising technique for addressing the mapping challenges in monocular visual deformable simultaneous localization…”
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ED-Dehaze Net: Encoder and Decoder Dehaze Network by Zhang, Hongqi, Wei, Yixiong, Zhou, Hongqiao, Wu, Qianhao

“…The presence of haze will significantly reduce the quality of images, such as resulting in lower contrast and blurry details. This paper proposes a novel…”
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Cultural and Creative Product Design based on Target-Embedding Variational Autoencoder and Convolutional Neural Network by Wang, Chunwei

“…The integration of the traditional cultural elements with the contemporary designs defines the process of Cultural and Creative Products Design (CCPD). The…”
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An Encoder-Sequencer-Decoder Network for Lane Detection to Facilitate Autonomous Driving by Hussain, Muhammad Ishfaq, Rafique, Muhammad Aasim, Ko, Yeongmin, Khan, Zafran, Olimov, Farrukh, Naz, Zubia, Kim, Jeongbae, Jeon, Moongu

“…Lane detection in all weather conditions is a pressing necessity for autonomous driving. Accurate lane detection ensures the safe operation of autonomous…”
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Roadway Crack Segmentation Based on an Encoder-decoder Deep Network with Multi-scale Convolutional Blocks by Sun, Mengyuan, Guo, Runhua, Zhu, Jinhui, Fan, Wenhui

“…In highway pavement management, to detect and segment cracks are the key distresses in the condition evaluation. Considering the characteristics of imbalance,…”
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