Search Results - "Encoder and decoder architecture"

O-SegNet: Robust Encoder and Decoder Architecture for Objects Segmentation From Aerial Imagery Data by Eerapu, Karuna Kumari, Lal, Shyam, Narasimhadhan, A. V.

“… We introduce O-SegNet- the robust encoder and decoder architecture for objects segmentation from high-resolution aerial imagery data to address this challenge…”
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Multi-source domain generalization deep neural network model for predicting energy consumption in multiple office buildings by Jiang, Ben, Li, Yu, Rezgui, Yacine, Zhang, Chengyu, Wang, Peng, Zhao, Tianyi

“…The effective prediction of building energy consumption can be used to optimize building operating modes and reduce the overall energy consumption and carbon…”
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An Exp-Golomb encoder and decoder architecture for JVT/AVS by Wu Di, Gao Wen, Hu Mingzeng, Ji Zhenzhou

“…). In this paper, the Ex-Golomb encoder and decoder architectures for JVT and AVS are proposed for the first time…”
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HEVC video encoder & decoder architecture for multi-cores by Mody, Mihir

“…HEVC is the latest generation of video compression standard promising half bit-rate compared H.264 and enabling transition to 4K/Ultra-HD. The approach of…”
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Conditional DETR for Fast Training Convergence by Meng, Depu, Chen, Xiaokang, Fan, Zejia, Zeng, Gang, Li, Houqiang, Yuan, Yuhui, Sun, Lei, Wang, Jingdong

“…The recently-developed DETR approach applies the transformer encoder and decoder architecture to object detection and achieves promising performance…”
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EMAT: Efficient feature fusion network for visual tracking via optimized multi-head attention by Wang, Jun, Lai, Changwang, Wang, Yuanyun, Zhang, Wenshuang

“… of computing resources and affect the computing efficiency of multi-head attention. In this paper, we design a novel feature fusion network with optimized multi-head attention in encoder and decoder architecture based on Transformer…”
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Efficient Frequency Domain-based Transformers for High-Quality Image Deblurring by Kong, Lingshun, Dong, Jiangxin, Ge, Jianjun, Li, Mingqiang, Pan, Jinshan

“…We present an effective and efficient method that explores the properties of Transformers in the frequency domain for high-quality image deblurring. Our method…”
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SS-net: split and spatial attention network for vessel segmentation of retinal OCT angiography by Jiang, Yingjie, Qi, Sumin, Meng, Jing, Cui, Baoyu

“…Optical coherence tomography angiography (OCTA) has been widely used in clinical fields because of its noninvasive, high-resolution qualities. Accurate vessel…”
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Instance segmentation method for weed detection using UAV imagery in soybean fields by Xu, Beibei, Fan, Jiahao, Chao, Jun, Arsenijevic, Nikola, Werle, Rodrigo, Zhang, Zhou

“… This study presents a novel approach combining the visible colour index with the instance segmentation method based on the encoder and decoder architecture…”
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Advanced Brain Tumor Segmentation Using SAM2-UNet by Pidishetti, Rohit Viswakarma, Amjad, Maaz, Sheng, Victor S.

“…Image segmentation is one of the key factors in diagnosing glioma patients with brain tumors. It helps doctors identify the types of tumor that a patient is…”
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Hierarchical damage correlations for old photo restoration by Cai, Weiwei, Xu, Xuemiao, Xu, Jiajia, Zhang, Huaidong, Yang, Haoxin, Zhang, Kun, He, Shengfeng

“… In contrast, the patch-misses necessitate the network to emphasize global information. To this end, we incorporate a transformer-based encoder and decoder architecture…”
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A segmentation network for farmland ridge based on encoder-decoder architecture in combined with strip pooling module and ASPP by Hong, Qingqing, Zhu, Yue, Liu, Wei, Ren, Tianyu, Shi, Changrong, Lu, Zhixin, Yang, Yunqin, Deng, Ruiting, Qian, Jing, Tan, Changwei

“…In order to effectively support wheat breeding, farmland ridge segmentation can be used to visualize the size and spacing of a wheat field. At the same time,…”
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Multi-model deep learning-based state of charge estimation for shipboard lithium batteries with feature extraction and Spatio-temporal dependency by Qiu, Yanxi, Wen, Shuli, Zhao, Qiang, Zhang, Bing, Wu, Guodong, Zhu, Miao

“… The Transformer is used for estimating the SOC sequence windows. Additionally, a recurrent neural network is employed as an additional encoder and decoder architecture…”
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DeepSLAM: A Robust Monocular SLAM System With Unsupervised Deep Learning by Li, Ruihao, Wang, Sen, Gu, Dongbing

“… Specifically, the Mapping-Net is an encoder and decoder architecture for describing the 3-D structure of environment, whereas the Tracking-Net is a recurrent convolutional neural network architecture…”
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Progressive Reverse Attention Network for image inpainting detection and localization by Liu, Shuai, Chen, Jiyou, Ding, Xiangling, Yang, Gaobo

“…) structure, PRA-Net follows an encoder and decoder architecture. The encoder leverages features at different scales with dense cross-connections to locate inpainted regions and generates global map with our designed…”
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Phase aware speech enhancement based on depthwise deep convolutional network by Iqbal, Yasir, Zhang, Tao, Iqbal, Anjum, Azaz, Ikram, Sadique, Umar, Fahad, Muhammad, Zhao, Xin, Geng, Yanzhang

“…Deep neural network-based Speech Enhancement (SE) techniques aim to improve the clarity and quality of speech signals where neural models are trained to…”
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Multi-phase features interaction transformer network for liver tumor segmentation and microvascular invasion assessment in contrast-enhanced CT by Zhang, Wencong, Tao, Yuxi, Huang, Zhanyao, Li, Yue, Chen, Yingjia, Song, Tengfei, Ma, Xiangyuan, Zhang, Yaqin

“…Precise segmentation of liver tumors from computed tomography (CT) scans is a prerequisite step in various clinical applications. Multi-phase CT imaging…”
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An improved framework for breast ultrasound image segmentation with multiple branches depth perception and layer compression residual module by Cui, Ke, Tian, Qichuan, Wang, Haoji, Ma, Chuan

“… encoder and decoder architecture. In the initial feature extraction stage, the network’s encoder employs the multiple branches depth residual block to integrate…”
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A joint self-information and Markovian model-driven deep channel estimation and feedback model for millimeter-wave massive MIMO systems by Kadiyala, Ragodaya Deepthi, Lokam, Anjaneyulu, Bhar, Chayan

“…The potential benefits of intelligent wireless communications with millimeter and massive multiple-input multiple-output (M-MIMO) are depend on the…”
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A method for reconstructing logging curves based on Characterization-enhanced Variational Autoencoder by Zhang, Xialin, Qu, Jizhen, Wang, Zhenjiang, Liu, Yang, Li, Zhanglin, Wang, Liangyu

“…Logging data is a critical resource in geological exploration. However, during actual logging operations, data loss, anomalies, or distortions often occur due…”
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