Výsledky vyhledávání - "encoder–decoder architecture"

MSCFNet: A Lightweight Network With Multi-Scale Context Fusion for Real-Time Semantic Segmentation Autor Gao, Guangwei, Xu, Guoan, Yu, Yi, Xie, Jin, Yang, Jian, Yue, Dong

“…In recent years, how to strike a good trade-off between accuracy, inference speed, and model size has become the core issue for real-time semantic segmentation…”
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Automated pancreatic mass segmentation in computer tomography images using a voting ensemble method based on encoder-decoder architectures Autor Araújo, Alexandre de Carvalho, de Almeida, João Dallyson Sousa, de Paiva, Anselmo Cardoso, Júnior, Geraldo Braz

“…Pancreatic cancer poses significant challenges in early diagnosis, with a high mortality rate of 98%, and is responsible for 4.7% of cancer deaths. Early…”
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A tutorial review of neural network modeling approaches for model predictive control Autor Ren, Yi Ming, Alhajeri, Mohammed S., Luo, Junwei, Chen, Scarlett, Abdullah, Fahim, Wu, Zhe, Christofides, Panagiotis D.

“…An overview of the recent developments of time-series neural network modeling is presented along with its use in model predictive control (MPC). A tutorial on…”
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Multi-scale feature fusion network for pixel-level pavement distress detection Autor Zhong, Jingtao, Zhu, Junqing, Huyan, Ju, Ma, Tao, Zhang, Weiguang

“…Automatic pavement distress detection is essential to monitoring and maintaining pavement condition. Currently, many deep learning-based methods have been…”
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WaferSegClassNet - A light-weight network for classification and segmentation of semiconductor wafer defects Autor Nag, Subhrajit, Makwana, Dhruv, R, Sai Chandra Teja, Mittal, Sparsh, Mohan, C.Krishna

“…As the integration density and design intricacy of semiconductor wafers increase, the magnitude and complexity of defects in them are also on the rise. Since…”
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End-to-End Change Detection for High Resolution Satellite Images Using Improved UNet Autor Peng, Daifeng, Zhang, Yongjun, Guan, Haiyan

“…Change detection (CD) is essential to the accurate understanding of land surface changes using available Earth observation data. Due to the great advantages in…”
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MITP-Net: A deep-learning framework for short-term indoor temperature predictions in multi-zone buildings Autor Xing, Tian, Sun, Kailai, Zhao, Qianchuan

“…Indoor temperature prediction is an essential component of building control and energy saving. Although existing indoor temperature prediction frameworks have…”
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Learning and Adapting Robust Features for Satellite Image Segmentation on Heterogeneous Data Sets Autor Ghassemi, Sina, Fiandrotti, Attilio, Francini, Gianluca, Magli, Enrico

“…This paper addresses the problem of training a deep neural network for satellite image segmentation so that it can be deployed over images whose statistics…”
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Seismic Facies Analysis Based on Deep Learning Autor Zhang, Yuxi, Liu, Yang, Zhang, Haoran, Xue, Hao

“…Seismic facies analysis is to study the sedimentary environment of stratigraphic sequence and provides an important basis for reservoir prediction. Most of the…”
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DGCN-ED: dynamic graph convolutional networks with encoder-decoder structure and its application for airborne LiDAR point classification Autor Chen, Yang, Xing, Yin, Li, Xiao, Gao, Wei

“…Achieving high-precision automatic classification in real-world applications for airborne laser scanning point clouds is a challenging task duo to their…”
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Deep Road Scene Understanding Autor Zhou, Wujie, Lv, Sijia, Jiang, Qiuping, Yu, Lu

“…Road scene understanding is a difficult task in autonomous driving. In this letter, we propose a novel deep encoder-decoder architecture for road scene…”
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T-GAE: A Timespan-aware Graph Attention-based Embedding Model for Temporal Knowledge Graph Completion Autor Hou, Xiangning, Ma, Ruizhe, Yan, Li, Ma, Zongmin

“…Temporal knowledge graphs (TKGs) often suffer from incompleteness, leading to an important research issue: Temporal Knowledge Graph Completion (TKGC)…”
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Dual-hierarchical knowledge distillation for video captioning Autor Luo, HuiLan, Wan, SiQi, Cai, Xia, Wang, ChanJuan, Chen, HongKun

“…•Introduce a dual-hierarchical distillation framework for video captioning.•Propose a caption quality grading method to reduce annotation noise.•Distill…”
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A Domain-Specific Generative Chatbot Trained from Little Data Autor Kapočiūtė-Dzikienė, Jurgita

“…Accurate generative chatbots are usually trained on large datasets of question–answer pairs. Despite such datasets not existing for some languages, it does not…”
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Self-co-attention neural network for anatomy segmentation in whole breast ultrasound Autor Lei, Baiying, Huang, Shan, Li, Hang, Li, Ran, Bian, Cheng, Chou, Yi-Hong, Qin, Jing, Zhou, Peng, Gong, Xuehao, Cheng, Jie-Zhi

“…•We devise a self-attention mechanism with spatial and channel attention modules.•The non-local block is employed to learn high-order semantic context…”
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KIDBA‐Net: A Multi‐Feature Fusion Brain Tumor Segmentation Network Utilizing Kernel Inception Depthwise Convolution and Bi‐Cross Attention Autor Min, Jie, Huang, Tongyuan, Huang, Boxiong, Hu, Chuanxin, Zhang, Zhixing

“…ABSTRACT Automatic brain tumor segmentation technology plays a crucial role in tumor diagnosis, particularly in the precise delineation of tumor subregions. It…”
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Dual-axis spectrum attention network: A robust model for underwater acoustic signal denoising Autor Zhao, Yu, Xie, Yuan, Ren, Jiawei, Wang, Wenchao, Xu, Ji

“…In the field of underwater acoustics, analyzing underwater targets through acoustic signals constitutes a critical task. However, the complex and diverse…”
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Predicting seismic responses of non-specific steel structures via learned representation of structural dynamic behaviors Autor Pan, Zeyu, Shi, Jianyong, Jiang, Liu

“…Recent advances in structural engineering highlight deep learning (DL) as a promising approach for developing surrogate models capable of rapidly predicting…”
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Automatic delamination segmentation for bridge deck based on encoder-decoder deep learning through UAV-based thermography Autor Cheng, Chongsheng, Shang, Zhexiong, Shen, Zhigang

“…Concrete deck delamination often demonstrates strong variations in size, shape, and temperature distribution under the influences of outdoor weather…”
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A hybrid lightweight encoder-decoder network for automatic bridge crack assessment with real-world interference Autor Deng, Jianghua, Lu, Ye, Lee, Vincent C.S.

“…•An HLEDNet was presented for concrete bridge crack detection and measurement.•The lightweight design was integrated with HLEDNet backbone architecture.•The…”
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