Search Results - Encoder and decoder architecture*

O-SegNet: Robust Encoder and Decoder Architecture for Objects Segmentation From Aerial Imagery Data by Eerapu, Karuna Kumari, Lal, Shyam, Narasimhadhan, A. V.

“… We introduce O-SegNet- the robust encoder and decoder architecture for objects segmentation from high-resolution aerial imagery data to address this challenge…”
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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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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.

“…) cells, and an encoder-decoder network to segment out manipulated regions from non-manipulated ones…”
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A Sentence‐Level Encoder–Decoder Architecture for Designing an Administrative Roman Urdu Chatbot by Maqbool, Muhammad Nazam, Saleem, Rana Muhammad, Sarwar, Nadeem, Ibrahim, Muhammad, Alam Hashmi, Muhammad Shadab

“… While chatbot architectures can be rule based or artificial intelligence (AI) based, the core objective of a chatbot is to effectively address user queries across diverse domains. AI…”
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Modeling urban growth using video prediction technology: A time‐dependent convolutional encoder–decoder architecture by Jaad, Ahmed, Abdelghany, Khaled

“…‐dependent convolutional encoder–decoder architecture. The methodology's input includes a satellite image for the base year and the prediction horizon…”
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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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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 visual perception multitasking of autonomous driving by Usman, Muhammad, Zaka-Ud-Din, Muhammad, Ling, Qiang

“… and efficient visual perception. Our approach utilizes a shared-encoder architecture with three separate decoders, targeting each specific task…”
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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 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.

“… The proposed complex-valued deep learning model for solving EMIS problems composes of an encoder network and its corresponding decoder network, followed by a final pixel-wise regression layer…”
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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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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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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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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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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

“… In this paper, we present a comparison of deep convolutional neural network (CNN) architectures and propose a residual CNN…”
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FADE: A Task-Agnostic Upsampling Operator for Encoder–Decoder Architectures by Lu, Hao, Liu, Wenze, Fu, Hongtao, Cao, Zhiguo

“… In this paper, we present FADE, a novel, plug-and-play, lightweight, and task-agnostic upsampling operator by fusing the assets of decoder and encoder features at three levels…”
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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

“… MICER, an encoder-decoder-based, reconstructed architecture for molecular image captioning, combines transfer learning, attention mechanisms and several strategies to strengthen effectiveness…”
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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

“… It is based on the complex-valued deep convolutional neural networks (DConvNets) comprising an encoder network and a corresponding decoder network with pixel-wise regression layer…”
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CGM-Based Blood Glucose Prediction Model With LSTM Encoder-Decoder Architecture by Xu, He, Zhang, Yi, Liu, Sixing, Ji, Yimu, Lv, Ming, Li, Peng

“…) architecture to enhance blood glucose prediction performance significantly. Compared to traditional encoder-decoder (E-D…”
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EDWNet: A Novel Encoder–Decoder Architecture Network for Water Body Extraction from Optical Images by Zhang, Tianyi, Ji, Wenbo, Li, Weibin, Qin, Chenhao, Wang, Tianhao, Ren, Yi, Fang, Yuan, Han, Zhixiong, Jiao, Licheng

“…–decoder architecture semantic segmentation network for high-precision extraction of WBs called EDWNet…”
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