Výsledky vyhledávání - "Deep encoder–decoder architecture"

Opinion-unaware blind picture quality measurement using deep encoder–decoder architecture Autor Zhou, Wujie, Lin, Xinyang, Zhou, Xi, Lei, Jingsheng, Yu, Lu, Luo, Ting

“… Inspired by this, we propose a deep encoder–decoder architecture (DEDA) for opinion-unaware (OU…”
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Two-stream deep encoder-decoder architecture for fully automatic video object segmentation Autor Xu, Jingwei, Song, Li, Xie, Rong

“…We propose a two-stream Deep Encoder-Decoder architecture to tackle the task of fully automatic video object segmentation…”
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Benchmark of Deep Encoder-Decoder Architectures for Head and Neck Tumor Segmentation in Magnetic Resonance Images: Contribution to the HNTSMRG Challenge Autor Wodzinski, Marek

“…Radiation therapy is one of the most frequently applied cancer treatments worldwide, especially in the context of head and neck cancer. Today, MRI-guided…”
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WaSR-A Water Segmentation and Refinement Maritime Obstacle Detection Network Autor Bovcon, Borja, Kristan, Matej

“…) detections in the presence of water reflections and wakes. We propose a novel deep encoder-decoder architecture, a water segmentation and refinement (WaSR…”
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MACU-Net for Semantic Segmentation of Fine-Resolution Remotely Sensed Images Autor Li, Rui, Duan, Chenxi, Zheng, Shunyi, Zhang, Ce, Atkinson, Peter M.

“… U-Net, a deep encoder-decoder architecture, has been used frequently for image segmentation with high accuracy…”
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The shape variational autoencoder: A deep generative model of part‐segmented 3D objects Autor Nash, C., Williams, C. K. I.

“… Our model makes use of a deep encoder‐decoder architecture that leverages the part‐decomposability of 3D objects to embed high…”
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Machine Learning to Improve Multi-Hop Searching and Extended Wireless Reachability in V2X Autor Morocho-Cayamcela, Manuel Eugenio, Lee, Haeyoung, Lim, Wansu

“… We use a two-step machine learning routine: improved deep encoder-decoder architecture to generate environmental maps and <inline-formula> <tex-math notation="LaTeX">{Q} </tex-math></inline-formula…”
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Deep-learning-based inverse design model for intelligent discovery of organic molecules Autor Kim, Kyungdoc, Kang, Seokho, Yoo, Jiho, Kwon, Youngchun, Nam, Youngmin, Lee, Dongseon, Kim, Inkoo, Choi, Youn-Suk, Jung, Yongsik, Kim, Sangmo, Son, Won-Joon, Son, Jhunmo, Lee, Hyo Sug, Kim, Sunghan, Shin, Jaikwang, Hwang, Sungwoo

“… In this regard, here we develop an inverse design model based on a deep encoder-decoder architecture for targeted molecular design…”
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Enhancing Aerial Semantic Segmentation With Feature Aggregation Network for DeepLabV3 Autor Nguyen, Gia-Vuong, Huynh-The, Thien

“…As a cutting-edge deep encoder-decoder architecture, DeepLabV3+ has been realized as a cutting-edge solution for image segmentation, especially aerial semantic segmentation in remote sensing applications…”
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A deep contrastive framework for unsupervised temporal link prediction in dynamic networks Autor Jiao, Pengfei, Zhang, Xinxun, Liu, Zehao, Zhang, Long, Wu, Huaming, Gao, Mengzhou, Li, Tianpeng, Wu, Jian

“…In dynamic networks, temporal link prediction aims to predict the appearance and disappearance of links in future snapshots based on the network structure we…”
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Enhanced deep learning network for accurate digital elevation model generation from LiDAR data Autor Al-Fugara, A'kif, Almomani, Mohammad H., Zitar, Raed Abu, Alzahrani, Ahmed Ibrahim, Alwadain, Ayed, Abualigah, Laith

“… This task is essential in the building of digital terrain models (DTMs). The proposed network is based on a deep encoder-decoder architecture and includes efficient…”
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Data-driven identification of nonlinear normal modes via physics-integrated deep learning Autor Li, Shanwu, Yang, Yongchao

“…Identifying the characteristic coordinates or modes of nonlinear dynamical systems is critical for understanding, analysis, and reduced-order modeling of the…”
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AGA: Attribute-Guided Augmentation Autor Dixit, Mandar, Kwitt, Roland, Niethammer, Marc, Vasconcelos, Nuno

“… We implement our approach as a deep encoder-decoder architecture that learns the synthesis…”
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Deep Road Scene Understanding Autor Zhou, Wujie, Lv, Sijia, Jiang, Qiuping, Yu, Lu

“…Road scene understanding is a difficult task in autonomous driving. In this letter, we propose a novel deep encoder-decoder architecture for road scene understanding in an end-to-end manner…”
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Dense Decoder Shortcut Connections for Single-Pass Semantic Segmentation Autor Bilinski, Piotr, Prisacariu, Victor

“…We propose a novel end-to-end trainable, deep, encoder-decoder architecture for single-pass semantic segmentation…”
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A Single-to-Multi Network for Latency-Free Non-Intrusive Load Monitoring Autor Liu, Yinyan, Qiu, Jing, Lu, Junda, Wang, Wei, Ma, Jin

“…) with deep encoder-decoder architecture to remove the unrealistic assumptions and reduce the size of the network to achieve latency-free NILM with only one model…”
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A Comparative Study of Various Deep Learning Approaches to Shape Encoding of Planar Geospatial Objects Autor Yan, Xiongfeng, Yang, Min

“… In this study, a shape encoding framework based on a deep encoder–decoder architecture was proposed, and three different methods for encoding planar geospatial shapes…”
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Hourglass 3D CNN for Stereo Disparity Estimation for Mobile Robots Autor La, Thai, Tao, Linh, Minh Tran, Chanh, Nguyen Duc, Tho, Kamioka, Eiji, Tan, Phan Xuan

“…Stereo cameras allow mobile robots to perceive depth in their surroundings by capturing two separate images from slightly different perspectives. This is…”
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SAEP: A Surrounding-Aware Individual Emotion Prediction Model Combined with T-LSTM and Memory Attention Mechanism Autor Wang, Yakun, Du, Yajun, Hu, Jinrong, Li, Xianyong, Chen, Xiaoliang

“… To fill this gap, a surrounding-aware individual emotion prediction model (SAEP) based on a deep encoder…”
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Fast predictive multimodal image registration Autor Xiao Yang, Kwitt, Roland, Styner, Martin, Niethammer, Marc

“…We introduce a deep encoder-decoder architecture for image deformation prediction from multimodal images…”
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