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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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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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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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.•We…”
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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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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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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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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

“…‐19 model is utilized as an image feature extractor. For both training and testing, the study uses a variety of photos from open…”
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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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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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Encoder–decoder-based image transformation approach for integrating multiple spatial forecasts Autor Hachiya, Hirotaka, Masumoto, Yusuke, Kudo, Atsushi, Ueda, Naonori

“…As the damage caused by heavy rainfall worsens, there is a growing demand for improved forecasts. One practical approach to address this issue is the linear…”
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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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Fusing Spatial Attention with Spectral-Channel Attention Mechanism for Hyperspectral Image Classification via Encoder–Decoder Networks Autor Sun, Jun, Zhang, Junbo, Gao, Xuesong, Wang, Mantao, Ou, Dinghua, Wu, Xiaobo, Zhang, Dejun

“…In recent years, convolutional neural networks (CNNs) have been widely used in hyperspectral image (HSI) classification…”
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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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Speckle denoising of optical coherence tomography image using residual encoder–decoder CycleGAN Autor Xie, Kang, Luo, Mengting, Chen, Hu, Yang, Mingming, He, Yuhua, Liao, Peixi, Zhang, Yi

“… However, speckle noise is not beneficial for improving OCT image quality and further image analysis, such as segmentation of the retinal layer…”
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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.

“…With advanced image journaling tools, one can easily alter the semantic meaning of an image by exploiting certain manipulation techniques such as copy clone, object splicing, and removal, which mislead the viewers…”
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Reinforced Residual Encoder–Decoder Network for Image Denoising via Deeper Encoding and Balanced Skip Connections Autor Boucherit, Ismail, Kheddar, Hamza

“…Traditional image denoising algorithms often struggle with real-world complexities such as spatially correlated noise, varying illumination conditions, sensor-specific noise patterns, motion blur…”
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Unsupervised change detection in PolSAR images using siamese encoder–decoder framework based on graph-context attention network Autor Yang, Zhifei, Wu, Yan, Li, Ming, Hu, Xin, Li, Zhikang

“… In this paper, we propose a graph-context attention-based siamese encoder–decoder network (GCA-SEDN) for unsupervised change detection in PolSAR images…”
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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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