Výsledky vyhledávání - Image Encoder/Decoder

Potential Obstacle Detection Using RGB to Depth Image Encoder–Decoder Network: Application to Unmanned Aerial Vehicles Autor Hachaj, Tomasz

“… For this purpose, a new network with an encoder–decoder architecture has been developed, which allows rapid distance estimation from a single image by performing RGB to depth mapping…”
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Scene image visual layout based on deep encoder–decoder network and visual image attention model Autor Zhang, Zhengyuan, He, Yi, Wang, Ping, Zhou, Xuesong

“…Generating complex scene layouts faces challenges such as cross-modal semantic alignment bias and low efficiency in modeling dynamic spatiotemporal…”
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Deep Hierarchical Encoder-Decoder Network for Image Captioning Autor 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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Parallel encoder-decoder framework for image captioning Autor Saeidimesineh, Reyhane, Adibi, Peyman, Karshenas, Hossein, Darvishy, Alireza

“…Recent progress in deep learning has led to successful utilization of encoder–decoder frameworks inspired by machine translation in image captioning models…”
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Encoder-decoder networks with guided transmission map for effective image dehazing: Encoder-decoder networks Autor Tran, Le-Anh, Park, Dong-Chul

“…A plain-architecture and effective image dehazing scheme, called Encoder-Decoder Network with Guided Transmission Map (EDN-GTM…”
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Automatic segmentation of intracerebral hemorrhage in CT images using encoder–decoder convolutional neural network Autor Hu, Kai, Chen, Kai, He, Xizhi, Zhang, Yuan, Chen, Zhineng, Li, Xuanya, Gao, Xieping

“…•We develop an encoder-decoder convolutional neural network (ED-Net).•We introduce a synthetic loss function to overcome the data imbalanced problem…”
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Image Captioning Encoder–Decoder Models Using CNN-RNN Architectures: A Comparative Study Autor Suresh, K. Revati, Jarapala, Arun, Sudeep, P. V.

“… This paper investigates the performance of different CNN encoders and recurrent neural network decoders for finding the best NIC generator model for image captioning…”
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Hybrid LSTM and Encoder-Decoder Architecture for Detection of Image Forgeries Autor 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 comprehensive construction of deep neural network‐based encoder–decoder framework for automatic image captioning systems Autor Rahman, Md Mijanur, Uzzaman, Ashik, Sami, Sadia Islam, Khatun, Fatema, Bhuiyan, Md Al‐Amin

“…This study introduces a novel encoder–decoder framework based on deep neural networks and provides a thorough investigation into the field of automatic picture captioning systems…”
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An Improved Encoder-Decoder Network for Ore Image Segmentation Autor Yang, Hao, Huang, Chao, Wang, Long, Luo, Xiong

“… Moreover, it is difficult to train a deep network due to limited available ore images. In this work, an improved encoder-decoder network based on U-Net is proposed to handle above challenges…”
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High-Resolution Encoder-Decoder Networks for Low-Contrast Medical Image Segmentation Autor Zhou, Sihang, Nie, Dong, Adeli, Ehsan, Yin, Jianping, Lian, Jun, Shen, Dinggang

“… segmentation, mainly based on the skip-connection-linked encoder-decoder deep architectures. However, in many applications…”
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Super-Resolution-Aided Sea Ice Concentration Estimation from AMSR2 Images by Encoder-Decoder Networks with Atrous Convolution Autor Feng, Tiantian, Liu, Xiaomin, Li, Rongxing

“…) AMSR2 images, with joint the super-resolution (SR) and SIC estimation network. Based on the SR network, the spatial resolution of original AMSR2 images…”
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SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation Autor 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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OverSegNet: A convolutional encoder–decoder network for image over-segmentation Autor Li, Peng, Ma, Wei

“… OverSegNet consists of an encoder and a decoder, which are designed for the two core parts of over-segmentation, i.e…”
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Denoising of 3D magnetic resonance images using a residual encoder–decoder Wasserstein generative adversarial network Autor Ran, Maosong, Hu, Jinrong, Chen, Yang, Chen, Hu, Sun, Huaiqiang, Zhou, Jiliu, Zhang, Yi

“…). Structure-preserved denoising of 3D magnetic resonance imaging (MRI) images is a critical step in medical image analysis…”
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SOD-CED: salient object detection for noisy images using convolution encoder–decoder Autor Singh, Maheep, Govil, Mahesh C, Pilli, Emmanuel S, Vipparthi, Santosh Kumar

“… Generally, images with additive noise have low spatial resolution and blurred edges, which affects the learning capability of the network and causes inaccurate detection…”
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Hierarchical encoder-decoder for image captioning Autor Pan, Lizhi, Song, Chengtian, Gan, Xiaozheng, Xu, Keyu, Deng, Mengqian

“…-level semantics, resulting in inaccurate captions. To address these issues, we propose a Hierarchical Encoder-decoder for Image Captioning (HierCap…”
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A Deep Convolutional Encoder–Decoder–Restorer Architecture for Image Deblurring Autor Fan, Yiqing, Hong, Chaoqun, Zeng, Guanghui, Liu, Lijuan

“… However, a single-stage network cannot capture multi-scale information well. To tackle the problem, a novel convolutional encoder–decoder…”
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BrainSeg-Net: Brain Tumor MR Image Segmentation via Enhanced Encoder–Decoder Network Autor Rehman, Mobeen Ur, Cho, SeungBin, Kim, Jeehong, Chong, Kil To

“…Efficient segmentation of Magnetic Resonance (MR) brain tumor images is of the utmost value for the diagnosis of tumor region…”
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Image Guidance Encoder-Decoder Model in Image Captioning and Its Application Autor Yang, Zhen, Zhou, Ziwei, Wang, Chaoyang, Xu, Liang

“…This paper introduces a new network model - the Image Guidance Encoder-Decoder Model (IG-ED…”
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