Search Results - "encoder–decoder architecture"

SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation by Badrinarayanan, Vijay, Kendall, Alex, Cipolla, Roberto

“…We present a novel and practical deep fully convolutional neural network architecture for semantic pixel-wise segmentation termed SegNet. This core trainable…”
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Hybrid LSTM and Encoder-Decoder Architecture for Detection of Image Forgeries by Bappy, Jawadul H., Simons, Cody, Nataraj, Lakshmanan, Manjunath, B. S., Roy-Chowdhury, Amit K.

“…With advanced image journaling tools, one can easily alter the semantic meaning of an image by exploiting certain manipulation techniques such as copy clone,…”
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Long-Term Traffic Prediction Based on LSTM Encoder-Decoder Architecture by Wang, Zhumei, Su, Xing, Ding, Zhiming

“…Accurate traffic flow prediction is becoming increasingly important for transportation planning, control, management, and information services of successful…”
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Automatic Crack Detection on Road Pavements Using Encoder-Decoder Architecture by Fan, Zhun, Li, Chong, Chen, Ying, Wei, Jiahong, Loprencipe, Giuseppe, Chen, Xiaopeng, Di Mascio, Paola

“…Automatic crack detection from images is an important task that is adopted to ensure road safety and durability for Portland cement concrete (PCC) and asphalt…”
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Encoder–Decoder Architecture for 3D Seismic Inversion by Gelboim, Maayan, Adler, Amir, Sun, Yen, Araya-Polo, Mauricio

“… We implement and analyze a convolutional encoder–decoder architecture that efficiently processes the entire collection of hundreds…”
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Enhanced encoder–decoder architecture for accurate monocular depth estimation: Enhanced encoder–decoder architecture by Das, Dabbrata, Das, Argho Deb, Sadaf, Farhan

“… This paper introduces a novel deep-learning-based approach using an enhanced encoder–decoder architecture, where the Inception-ResNet-v2 model serves as the encoder…”
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Enhanced encoder–decoder architecture for visual perception multitasking of autonomous driving by Usman, Muhammad, Zaka-Ud-Din, Muhammad, Ling, Qiang

“…Visual perception plays a vital role in autonomous driving systems, demanding high accuracy and real-time inference speed to ensure safety. In this paper, we…”
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An encoder–decoder architecture with Fourier attention for chaotic time series multi-step prediction by Fu, Ke, Li, He, Shi, Xiaotian

“…Multi-step prediction of chaotic time series has been a challenging problem. An encoder–decoder architecture based on novel Fourier attention was proposed, called FGNet, applied to chaotic time series multi-step prediction…”
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Sequence-to-Sequence Prediction of Vehicle Trajectory via LSTM Encoder-Decoder Architecture by Park, Seong Hyeon, Kim, ByeongDo, Kang, Chang Mook, Chung, Chung Choo, Choi, Jun Won

“… We employ the encoder-decoder architecture which analyzes the pattern underlying in the past trajectory using the long short-term memory (LSTM…”
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Enhanced Deep Learning Approach Based on the Deep Convolutional Encoder-Decoder Architecture for Electromagnetic Inverse Scattering Problems by Yao, He Ming, Jiang, Lijun, Sha, Wei E. I.

“…This letter proposes a novel deep learning (DL) approach to resolve the electromagnetic inverse scattering (EMIS) problems. The conventional approaches of…”
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A novel approach to ultra-short-term multi-step wind power predictions based on encoder–decoder architecture in natural language processing by Wang, Lei, He, Yigang, Li, Lie, Liu, Xiaoyan, Zhao, Yingying

“… The reported encoder-–decoder architectures have demonstrated clear advantages over traditional methods in multi-step WPP tasks…”
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Enhanced encoder–decoder architecture for accurate monocular depth estimation by Das, Dabbrata, Das, Argho Deb, Sadaf, Farhan

“… This paper introduces a novel deep-learning-based approach using an enhanced encoder–decoder architecture, where the Inception-ResNet-v2 model serves as the encoder…”
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T-Net: Nested encoder–decoder architecture for the main vessel segmentation in coronary angiography by Jun, Tae Joon, Kweon, Jihoon, Kim, Young-Hak, Kim, Daeyoung

“…In this paper, we proposed nested encoder–decoder architecture named T-Net. T-Net consists of several small encoder…”
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MCSGNet: A Encoder–Decoder Architecture Network for Land Cover Classification by Hu, Kai, Zhang, Enwei, Dai, Xin, Xia, Min, Zhou, Fenghua, Weng, Liguo, Lin, Haifeng

“…The analysis of land cover types is helpful for detecting changes in land use categories and evaluating land resources. It is of great significance in…”
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State-of-charge sequence estimation of lithium-ion battery based on bidirectional long short-term memory encoder-decoder architecture by Bian, Chong, He, Huoliang, Yang, Shunkun, Huang, Tingting

“…State-of-charge (SOC) estimation of lithium-ion batteries based on deep learning techniques has been receiving considerable attention. However, most…”
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Semantic segmentation of retinal exudates using a residual encoder–decoder architecture in diabetic retinopathy by Manan, Malik Abdul, Jinchao, Feng, Khan, Tariq M., Yaqub, Muhammad, Ahmed, Shahzad, Chuhan, Imran shabir

“…Exudates are a common sign of diabetic retinopathy, which is a disease that affects the blood vessels in the retina. Early detection of exudates is critical to…”
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A deep convolutional encoder-decoder architecture for autonomous fault detection of PV plants using multi-copters by Moradi Sizkouhi, Amirmohammad, Aghaei, Mohammadreza, Esmailifar, Sayyed Majid

“…•An autonomous monitoring platform for the identification of visual failures on PV arrays.•Practical flights by multi-copters to collect a data-set of diverse…”
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TlED-Net: optimizing semantic segmentation via triple-loop encoder-decoder architecture with dense skip connections: TlED-Net: optimizing semantic segmentation via triple-loop encoder-decoder architecture by Wei, Yuanhong, Wang, Yuefei

“… To address these issues, we propose TlED-Net, a novel semantic segmentation network based on a triple-loop encoder-decoder architecture (TlEDA…”
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MICER: a pre-trained encoder–decoder architecture for molecular image captioning by Yi, Jiacai, Wu, Chengkun, Zhang, Xiaochen, Xiao, Xinyi, Qiu, Yanlong, Zhao, Wentao, Hou, Tingjun, Cao, Dongsheng

“…Automatic recognition of chemical structures from molecular images provides an important avenue for the rediscovery of chemicals. Traditional rule-based…”
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Implementing the Fast Full Wave Electromagnetic Forward Solver Using the Deep Convolutional Encoder-Decoder Architecture by Yao, He Ming, Jiang, Lijun, Ng, Michael

“…In this paper, a novel deep learning (DL) based solver is proposed for the electromagnetic forward (EMF) process. It is based on the complex-valued deep…”
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