Suchergebnisse - neural network with encoderdecoder architecture

STC-GAN: Spatio-Temporally Coupled Generative Adversarial Networks for Predictive Scene Parsing von Qi, Mengshi, Wang, Yunhong, Li, Annan, Luo, Jiebo

“… In this paper, we propose a novel model called STC-GAN, Spatio-Temporally Coupled Generative Adversarial Networks for predictive scene parsing, which employ both convolutional neural networks …”
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Simultaneous segmentation and classification of bird song using CNN von Narasimhan, Revathy, Fern, Xiaoli Z., Raich, Raviv

“… This work presents a new approach that performs simultaneous segmentation and classification of bird species using a Convolutional Neural Network (CNN …”
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A Deep Learning Approach to Photoacoustic Wavefront Localization in Deep-Tissue Medium von Johnstonbaugh, Kerrick, Agrawal, Sumit, Durairaj, Deepit Abhishek, Fadden, Christopher, Dangi, Ajay, Karri, Sri Phani Krishna, Kothapalli, Sri-Rajasekhar

“… Optical photons undergo strong scattering when propagating beyond 1-mm deep inside biological tissue. Finding the origin of these diffused optical wavefronts …”
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Optimizing Multi-Class Change Segmentation in High-Resolution Satellite Imagery With a Siamese Network for Low-Resource Environments von Srivastava, Noopur, Jain, Kamal

“… Unlike traditional binary change detection, which requires post-processing to identify specific transformations, we introduce a Siamese architecture called SiamSegCD …”
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Time series computational prediction of vaccines for influenza A H3N2 with recurrent neural networks von Yin, Rui, Zhang, Yu, Zhou, Xinrui, Kwoh, Chee Keong

“… recurrent neural networks (RNNs). The Encoder-decoder architecture of RNN model enables us to perform sequence-to-sequence prediction …”
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Enhancing Robotic Grasping Pose Estimation with Channel Interaction Attention Refinement von Liang, Haotian, Xiao, Xinjie, Hou, Yanling, Cui, Xinyuan, Wang, Jingyao, Liu, Huashan

“… ) grasping pose estimation framework with an encoder-decoder architecture and sparse convolutional network …”
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Unsupervised CNN-based DIC method for 2D displacement measurement von Wang, Yixiao, Zhou, Canlin

“… •The paper proposes an unsupervised convolutional neural network (CNN) based DIC method for 2D displacement measurement,which eliminates the need for extensive training data annotation …”
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A surrogate modeling method for distributed land surface hydrological models based on deep learning von Sun, Ruochen, Pan, Baoxiang, Duan, Qingyun

“… •A surrogate model for distributed hydrological models is developed using deep networks …”
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A Neural Network-Based Causal Model for Electricity Demand Estimation in Remote Areas: A Case Study in El Espino, Bolivia von Sanfilippo, Stefano, Hernández-Cabrera, Jose Juan, Kändler, Christoph, Gálvez, Jose H., Évora-Gomez, Jose, Roncal-Andrés, Octavio

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Attention based Image Caption Generation (ABICG) using Encoder-Decoder Architecture von Kulkarni, Uday, Tomar, Kushagra, Kalmat, Mayuri, Bandi, Rakshita, Jadhav, Pranav, Meena, Sm

“… The image captioning is utilized to develop the explanations of the sentences describing the series of scenes captured in the image or picture forms. The …”
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Unsupervised TomoSAR Image Reconstruction Through Virtual Multiple Measurement Explorations von Liu, Liang, Zeng, Tianjiao, Wang, Mou, Shi, Jun, Wei, Shunjun, Zhang, Xiaoling, Zhan, Xu

“… Tomographic synthetic aperture radar (TomoSAR) reconstruction produces 3D imaging of scenes from measurements and has recently been combined with data-driven …”
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A Sequence-to-Sequence Deep Learning Architecture Based on Bidirectional GRU for Type Recognition and Time Location of Combined Power Quality Disturbance von Deng, Yaping, Wang, Lu, Jia, Hao, Tong, Xiangqian, Li, Feng

“… First, the input sequence is normalized and batched. Second, deep features are extracted from input sequence by constructing Bi-GRU recurrent neural network …”
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Neural Architecture Search for Joint Human Parsing and Pose Estimation von Zeng, Dan, Huang, Yuhang, Bao, Qian, Zhang, Junjie, Su, Chi, Liu, Wu

“… while modeling their correlation in the joint learning fashion. Recent studies have shown that Neural Architecture Search (NAS …”
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Small training dataset convolutional neural networks for application-specific super-resolution microscopy von Mannam, Varun, Howard, Scott

“… Machine learning (ML) models based on deep convolutional neural networks have been used to significantly increase microscopy resolution, speed …”
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MIRAU-Net: An improved neural network based on U-Net for gliomas segmentation von AboElenein, Nagwa M., Piao, Songhao, Noor, Alam, Ahmed, Pir Noman

“… Recently, U-Net architecture has achieved impressive brain tumor segmentation, but this role remains challenging due to the differing severity and appearance of gliomas …”
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Liquid-Liquid Dispersion Performance Prediction and Uncertainty Quantification Using Recurrent Neural Networks von Liang, Fuyue, Valdes, Juan P, Cheng, Sibo, Kahouadji, Lyes, Shin, Seungwon, Chergui, Jalel, Juric, Damir, Arcucci, Rossella, Matar, Omar K

“… We demonstrate the application of a recurrent neural network (RNN) to perform multistep and multivariate time-series performance predictions for stirred and static mixers as exemplars of complex multiphase systems …”
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Enhancing Tensor Based Imputation with CNNS for Astronomical Imagery Data von Nidhya, R., Pabi, D J Ashpin, Pavithra, Valluru, Poojitha, Vongimalla, Sandeep, S.

“… of environmental monitoring and geospatial analysis. This proposed model presents a convolutional neural network (CNN …”
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Learning Question Similarity with Recurrent Neural Networks von Borui Ye, Guangyu Feng, Anqi Cui, Ming Li

“… The measurement of semantic similarity is a fundamental task in natural language processing. In the settings of a community question answering (cQA) system, it …”
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SegNetRes-CRF: A Deep Convolutional Encoder-Decoder Architecture for Semantic Image Segmentation von de Oliveira Junior, Luiz Antonio, Medeiros, Heitor R., Macedo, David, Zanchettin, Cleber, Oliveira, Adriano L. I., Ludermir, Teresa

“… Several of the actual best approaches in this context are based on deep neural networks …”
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A dynamic convolution-transformer neural network for multiple sound source localization based on functional beamforming von Zhang, Ge, Geng, Lin, Xie, Feng, He, Chun-Dong

“… The performance of the deep learning-based method is closely related to the selections of input features and the architecture of networks …”
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