Search Results - "Encoder–decoder architecture"

MSCFNet: A Lightweight Network With Multi-Scale Context Fusion for Real-Time Semantic Segmentation by 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…”
Get full text

Automated pancreatic mass segmentation in computer tomography images using a voting ensemble method based on encoder-decoder architectures by 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…”
Get full text

A tutorial review of neural network modeling approaches for model predictive control by 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…”
Get full text

Multi-scale feature fusion network for pixel-level pavement distress detection by 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…”
Get full text

WaferSegClassNet - A light-weight network for classification and segmentation of semiconductor wafer defects by 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…”
Get full text

End-to-End Change Detection for High Resolution Satellite Images Using Improved UNet by 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…”
Get full text

MITP-Net: A deep-learning framework for short-term indoor temperature predictions in multi-zone buildings by 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…”
Get full text

Learning and Adapting Robust Features for Satellite Image Segmentation on Heterogeneous Data Sets by 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…”
Get full text

Seismic Facies Analysis Based on Deep Learning by 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…”
Get full text

DGCN-ED: dynamic graph convolutional networks with encoder-decoder structure and its application for airborne LiDAR point classification by 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…”
Get full text

Deep Road Scene Understanding by 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…”
Get full text

T-GAE: A Timespan-aware Graph Attention-based Embedding Model for Temporal Knowledge Graph Completion by 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)…”
Get full text

Dual-hierarchical knowledge distillation for video captioning by 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…”
Get full text

A Domain-Specific Generative Chatbot Trained from Little Data by 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…”
Get full text

Self-co-attention neural network for anatomy segmentation in whole breast ultrasound by 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…”
Get full text

KIDBA‐Net: A Multi‐Feature Fusion Brain Tumor Segmentation Network Utilizing Kernel Inception Depthwise Convolution and Bi‐Cross Attention by 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…”
Get full text

Dual-axis spectrum attention network: A robust model for underwater acoustic signal denoising by 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…”
Get full text

Predicting seismic responses of non-specific steel structures via learned representation of structural dynamic behaviors by 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…”
Get full text

Automatic delamination segmentation for bridge deck based on encoder-decoder deep learning through UAV-based thermography by 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…”
Get full text

A hybrid lightweight encoder-decoder network for automatic bridge crack assessment with real-world interference by 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…”
Get full text