Search Results - encoder‐decoder architecture variants

DenseUNet: densely connected UNet for electron microscopy image segmentation by 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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CovSegNet: A Multi Encoder-Decoder Architecture for Improved Lesion Segmentation of COVID-19 Chest CT Scans by 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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Video description: A comprehensive survey of deep learning approaches by 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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Adaptive Feature Medical Segmentation Network: an adaptable deep learning paradigm for high-performance 3D brain lesion segmentation in medical imaging by 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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CA-SegNet: A channel-attention encoder–decoder network for histopathological image segmentation by He, Feng, Wang, Weibo, Ren, Lijuan, Zhao, Yixuan, Liu, Zhengjun, Zhu, Yuemin

“…Histopathological image segmentation based on encoder–decoder architectures has emerged as a pivotal research area in medical image analysis…”
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Context prior-based with residual learning for face detection: A deep convolutional encoder–decoder network by Zhou, Zexun, He, Zhongshi, Jia, Yuanyuan, Du, Jinglong, Wang, Lulu, Chen, Ziyu

“… The proposed network is a scale-variant style architecture and single stage, which are composed of encoder and decoder subnetworks…”
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CGSANet: A Contour-Guided and Local Structure-Aware Encoder-Decoder Network for Accurate Building Extraction From Very High-Resolution Remote Sensing Imagery by Chen, Shanxiong, Shi, Wenzhong, Zhou, Mingting, Zhang, Min, Xuan, Zhaoxin

“… Recent studies mainly adopt a variant of the fully convolutional network (FCN) with an encoder-decoder architecture to extract buildings, which has shown promising improvement over conventional methods…”
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Efficient segmentation and classification of the tumor using improved encoder-decoder architecture in brain MRI images by Ingle, Archana, Roja, Mani, Sankhe, Manoj, Patkar, Deepak

“…Primary diagnosis of brain tumors is crucial to improve treatment outcomes for patient survival. T1-weighted contrast-enhanced images of Magnetic Resonance…”
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Metamodeling elastic wave propagation using a mixed factorized Fourier encoder–decoder for online laser-ultrasound testing in additive manufacturing by Allaire, Frédéric, Gatti, Filippo, Miorelli, Roberto, Dorval, Vincent, Laurent, Jérôme

“…Laser-ultrasound (LU) testing has emerged as a promising technique for characterizing the polycrystalline microstructure of metal components produced by…”
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Deep Hierarchical Encoder-Decoder Network for Image Captioning by Xiao, Xinyu, Wang, Lingfeng, Ding, Kun, Xiang, Shiming, Pan, Chunhong

“…Encoder-decoder models have been widely used in image captioning, and most of them are designed via single long short term memory (LSTM…”
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LAEDNet: A Lightweight Attention Encoder–Decoder Network for ultrasound medical image segmentation by Zhou, Quan, Wang, Qianwen, Bao, Yunchao, Kong, Lingjun, Jin, Xin, Ou, Weihua

“…), for automatic ultrasound image segmentation. In contrast to previous encoder–decoder networks that involve complicated architecture with numerous parameters, our LAEDNet adopts lightweight version of EfficientNet as encoder…”
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PolypSegNet: A modified encoder-decoder architecture for automated polyp segmentation from colonoscopy images by Mahmud, Tanvir, Paul, Bishmoy, Fattah, Shaikh Anowarul

“… In this paper, an encoder-decoder based modified deep neural network architecture is proposed, named as PolypSegNet, to overcome…”
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Seismic Facies Segmentation via A Segformer-based Specific Encoder-Decoder-Hypercolumns Scheme by Wang, Zhiguo, Wang, Qiannan, Yang, Yang, Liu, Naihao, Chen, Yumin, Gao, Jinghuai

“… However, to improve some inherent limitations of CNNs, it is significant to explore alternative architectures, such as the Transformer with the self-attention mechanism…”
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A self-supervised method of single-image depth estimation by feeding forward information using max-pooling layers by Shi, Jinlong, Sun, Yunhan, Bai, Suqin, Sun, Zhengxing, Tian, Zhaohui

“…We propose an encoder–decoder CNN framework to predict depth from one single image in a self-supervised manner…”
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Data-to-text Generation with Macro Planning by 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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Liver tumor segmentation from computed tomography images using multiscale residual dilated encoder‐decoder network by Tummala, Bindu Madhavi, Barpanda, Soubhagya Sankar

“…In this paper, an encoder‐decoder‐based architecture, which segments liver tumors with a two…”
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Deep capsule encoder–decoder network for surrogate modeling and uncertainty quantification by Thakur, Akshay, Chakraborty, Souvik

“…We propose a novel capsule‐based deep encoder–decoder model for surrogate modeling and uncertainty quantification of systems in mechanics from sparse data…”
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STMMOT: Advancing multi-object tracking through spatiotemporal memory networks and multi-scale attention pyramids by 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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PMED-Net: Pyramid Based Multi-Scale Encoder-Decoder Network for Medical Image Segmentation by Khan, Abbas, Kim, Hyongsuk, Chua, Leon

“… Different variants of encoder-decoder networks are in practice for segmenting the medical images and U-Net is the most widely used one…”
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A Novel Encoder-Decoder Structure-based Transformer for Fine-Resolution Remote Sensing Images by Wang, Guixian, Huang, Dandan, Geng, ZhenYe, Liu, Zhi, Duan, Jin

“… Encoder-decoder architecture is an effective means to get finer-grained performance. Encoders constantly extract multilevel features, and then use decoders to gradually introduce low-level features into high-level features…”
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