Výsledky vyhledávání - encoder‐decoder architecture variants*

DenseUNet: densely connected UNet for electron microscopy image segmentation Autor Cao, Yue, Liu, Shigang, Peng, Yali, Li, Jun

“…Electron microscopy (EM) image segmentation plays an important role in computer-aided diagnosis of specific pathogens or disease. However, EM image…”
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STMMOT: Advancing multi-object tracking through spatiotemporal memory networks and multi-scale attention pyramids Autor Mukhtar, Hamza, Khan, Muhammad Usman Ghani

“…–decoder architecture; (2) Scale variant pyramid, progressive pyramid structure to learn the self-scale and cross-scale similarities in multi-scale feature maps; (3…”
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Data-to-text Generation with Macro Planning Autor Puduppully, Ratish, Lapata, Mirella

“…Recent approaches to data-to-text generation have adopted the very successful encoder-decoder architecture or variants thereof…”
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CovSegNet: A Multi Encoder-Decoder Architecture for Improved Lesion Segmentation of COVID-19 Chest CT Scans Autor Mahmud, Tanvir, Rahman, Md Awsafur, Fattah, Shaikh Anowarul, Kung, Sun-Yuan

“… Traditional U-shaped encoder-decoder architecture and its variants suffer from diminutions of contextual information in pooling/upsampling operations with increased semantic gaps among encoded…”
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Adaptive Feature Medical Segmentation Network: an adaptable deep learning paradigm for high-performance 3D brain lesion segmentation in medical imaging Autor Zaman, Asim, Hassan, Haseeb, Zeng, Xueqiang, Khan, Rashid, Lu, Jiaxi, Yang, Huihui, Miao, Xiaoqiang, Cao, Anbo, Yang, Yingjian, Huang, Bingding, Guo, Yingwei, Kang, Yan

“… We introduce a novel encoder-decoder network architecture named the Adaptive Feature Medical Segmentation Network (AFMS-Net…”
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Disentangled Representation Learning for Controllable Image Synthesis: An Information-Theoretic Perspective Autor Tang, Shichang, Zhou, Xu, He, Xuming, Ma, Yi

“… We develop an encoder-decoder architecture for a variant of the Variational Auto-Encoder (VAE) with two latent codes z_…”
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Video description: A comprehensive survey of deep learning approaches Autor Rafiq, Ghazala, Rafiq, Muhammad, Choi, Gyu Sang

“… Sequence to sequence models follow an Encoder–Decoder architecture employing a specific composition of CNN, RNN, or the variants LSTM or GRU as an encoder…”
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Generative adversarial networks with decoder–encoder output noises Autor Zhong, Guoqiang, Gao, Wei, Liu, Yongbin, Yang, Youzhao, Wang, Da-Han, Huang, Kaizhu

“…In recent years, research on image generation has been developing very fast. The generative adversarial network (GAN) emerges as a promising framework, which…”
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DS-TransUNet: Dual Swin Transformer U-Net for Medical Image Segmentation Autor Lin, Ailiang, Chen, Bingzhi, Xu, Jiayu, Zhang, Zheng, Lu, Guangming, Zhang, David

“… Inspired by the success of self-attention mechanism in transformer, considerable efforts are devoted to designing the robust variants of the encoder-decoder architecture with transformer…”
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Dual Cross-Attention for medical image segmentation Autor Ates, Gorkem Can, Mohan, Prasoon, Celik, Emrah

“…We propose Dual Cross-Attention (DCA), a simple yet effective attention module that enhances skip-connections in U-Net-based architectures for medical image segmentation…”
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Multi-modal transformer architecture for medical image analysis and automated report generation Autor Raminedi, Santhosh, Shridevi, S., Won, Daehan

“… We propose an automated report generation model for medical images leveraging an encoder–decoder architecture…”
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Semantic segmentation of clouds in satellite images based on U-Net++ architecture and attention mechanism Autor Kaur Buttar, Preetpal, Sachan, Manoj Kumar

“… of 91.8 %.•Transfer learning helps to improve the segmentation results.•SEUNet++ performs better than the original U-Net++ architecture.•SEUNet+…”
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Velocity-to-velocity human motion forecasting Autor Wang, Hongsong, Wang, Liang, Feng, Jiashi, Zhou, Daquan

“…•We introduce a novel velocity-to-velocity learning paradigm for human motion prediction, and propose different architectures to implement this paradigm…”
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A Novel Hybrid Deep Learning Model For Stock Price Forecasting Autor Alghamdi, Dhaifallah, Alotaibi, Faris, Rajgopal, Jayant

“… The architecture exploits an encoder-decoder framework with variants of convolutions and recurrent neurons, in order to perform representation learning for the past behavior of the stock as well…”
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Aggregated Context Network For Semantic Segmentation Of Aerial Images Autor Chouhan, Avinash, Sur, Arijit, Chutia, Dibyajyoti

“… In this work, we proposed a variant of encoder-decoder-based architecture where residual attentive skip connections are incorporated…”
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Generating Predicate Logic Expressions from Natural Language Autor Levkovskyi, Oleksii, Li, Wei

“…Formal logic expressions are commonly written in standardized mathematical notation. Learning this notation typically requires many years of experience and is…”
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Deep Learning-Based Auto-Encoder for Time-Offset Sub-Faster-Than-Nyquist Downlink NOMA With Timing Errors and Imperfect CSI Autor Aboutaleb, Ahmed, Torabi, Mohammad, Belzer, Benjamin, Sivakumar, Krishnamoorthy

“…This paper presents architecture designs and performance evaluations for the encoding and decoding of transmitted and received sequences for downlink time-offset sub-faster-than-Nyquist non-orthogonal…”
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Two‐dimensional medical image segmentation based on U‐shaped structure Autor Cai, Sijing, Xiao, Yuwei, Wang, Yanyu

“… One popular strategy for such tasks is the encoder‐decoder‐based U‐Net architecture and its variants…”
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Retinal layer segmentation in rodent OCT images: Local intensity profiles & fully convolutional neural networks Autor Morales, Sandra, Colomer, Adrián, Mossi, José M., del Amor, Rocío, Woldbye, David, Klemp, Kristian, Larsen, Michael, Naranjo, Valery

“…•Two approaches to detect retinal layers in rat OCT images are presented.•One approach is based on classical image processing and the other on deep…”
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InvUnet:Inverse the Unet for Nuclear Segmentation in H&E Stained Images Autor Zhang, Lifeng, Li, Bin

“… These models are variants of encoder-decoder architecture and can be traced from FCN, which is designed for semantic segmentation task of natural images…”
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