Suchergebnisse - "Encoder-decoder"

Modeling the dynamics of PDE systems with physics-constrained deep auto-regressive networks von Geneva, Nicholas, Zabaras, Nicholas

“… •Deep auto-regressive dense encoder-decoder surrogate for predicting transient PDEs.•Physics-constrained learning enables the model to learn dynamics without …”
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STAT: Spatial-Temporal Attention Mechanism for Video Captioning von Yan, Chenggang, Tu, Yunbin, Wang, Xingzheng, Zhang, Yongbing, Hao, Xinhong, Zhang, Yongdong, Dai, Qionghai

“… Video captioning refers to automatic generate natural language sentences, which summarize the video contents. Inspired by the visual attention mechanism of …”
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Long-Term Traffic Prediction Based on LSTM Encoder-Decoder Architecture von Wang, Zhumei, Su, Xing, Ding, Zhiming

“… Accurate traffic flow prediction is becoming increasingly important for transportation planning, control, management, and information services of successful …”
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EDRNet: Encoder-Decoder Residual Network for Salient Object Detection of Strip Steel Surface Defects von Song, Guorong, Song, Kechen, Yan, Yunhui

“… It is still a challenging task to detect the surface defects of strip steel due to its complex variations, including variable defect types, cluttered …”
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Real-Time 3D Face Alignment Using an Encoder-Decoder Network With an Efficient Deconvolution Layer von Ning, Xin, Duan, Pengfei, Li, Weijun, Zhang, Shaolin

“… In the field of 3D face alignment, most researchers have focused on improving the prediction accuracy of algorithms and ignored the portability for practical …”
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SEDRFuse: A Symmetric Encoder-Decoder With Residual Block Network for Infrared and Visible Image Fusion von Jian, Lihua, Yang, Xiaomin, Liu, Zheng, Jeon, Gwanggil, Gao, Mingliang, Chisholm, David

“… Image fusion is an important task for computer vision as a diverse range of applications are benefiting from the fusion operation. The existing image fusion …”
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Multiscale Underwater Image Enhancement in RGB and HSV Color Spaces von Liu, Chufan, Shu, Xin, Pan, Lei, Shi, Jinlong, Han, Bin

“… Clear underwater images serve to explore and measure ocean resources. However, underwater images suffer from color deviations and hazy effects due to …”
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Encoder-Decoder With Cascaded CRFs for Semantic Segmentation von Ji, Jian, Shi, Rui, Li, Sitong, Chen, Peng, Miao, Qiguang

“… When dealing with semantic segmentation, how to locate the object boundary information more accurately is a key problem to distinguish different objects …”
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Rethinking Transformers for Semantic Segmentation of Remote Sensing Images von Liu, Yuheng, Zhang, Yifan, Wang, Ye, Mei, Shaohui

“… Transformer has been widely applied in image processing tasks as a substitute for convolutional neural networks (CNNs) for feature extraction due to its …”
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Dense Dilated Network With Probability Regularized Walk for Vessel Detection von Mou, Lei, Chen, Li, Cheng, Jun, Gu, Zaiwang, Zhao, Yitian, Liu, Jiang

“… The detection of retinal vessel is of great importance in the diagnosis and treatment of many ocular diseases. Many methods have been proposed for vessel …”
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Spatial interpolation using conditional generative adversarial neural networks von Zhu, Di, Cheng, Ximeng, Zhang, Fan, Yao, Xin, Gao, Yong, Liu, Yu

“… Spatial interpolation is a traditional geostatistical operation that aims at predicting the attribute values of unobserved locations given a sample of data …”
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INet: Convolutional Networks for Biomedical Image Segmentation von Weng, Weihao, Zhu, Xin

“… Encoder-decoder networks are state-of-the-art approaches to biomedical image segmentation, but have two problems: i.e., the widely used pooling operations may …”
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ColonFormer: An Efficient Transformer based Method for Colon Polyp Segmentation von Duc, Nguyen Thanh, Oanh, Nguyen Thi, Thuy, Nguyen Thi, Triet, Tran Minh, Sang, Dinh Viet

“… Identifying polyps is challenging for automatic analysis of endoscopic images in computer-aided clinical support systems. Models based on convolutional …”
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Dual Attention-Based Encoder-Decoder: A Customized Sequence-to-Sequence Learning for Soft Sensor Development von Feng, Liangjun, Zhao, Chunhui, Sun, Youxian

“… Soft sensor techniques have been applied to predict the hard-to-measure quality variables based on the easy-to-measure process variables in industry scenarios …”
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Lednet: A Lightweight Encoder-Decoder Network for Real-Time Semantic Segmentation von Wang, Yu, Zhou, Quan, Liu, Jia, Xiong, Jian, Gao, Guangwei, Wu, Xiaofu, Latecki, Longin Jan

“… The extensive computational burden limits the usage of CNNs in mobile devices for dense estimation tasks. In this paper, we present a lightweight network to …”
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Dual-stream pyramid registration network von Kang, Miao, Hu, Xiaojun, Huang, Weilin, Scott, Matthew R., Reyes, Mauricio

“… •We propose a Dual-stream Pyramid Registration Network (referred as Dual-PRNet) for unsupervised 3D medical image registration.•We design a two-stream 3D …”
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EDADet: Encoder-Decoder Domain Augmented Alignment Detector for Tiny Objects in Remote Sensing Images von Tao, Wenguang, Wang, Xiaotian, Yan, Tian, Bi, Haixia, Yan, Jie

“… In recent years, deep learning has shown great potential in object detection applications, but it is still difficult to accurately detect tiny objects with an …”
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Deep learning methods for medical image fusion: A review von Zhou, Tao, Cheng, QianRu, Lu, HuiLing, Li, Qi, Zhang, XiangXiang, Qiu, Shi

“… The image fusion methods based on deep learning has become a research hotspot in the field of computer vision in recent years. This paper reviews these methods …”
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Nonautoregressive Encoder-Decoder Neural Framework for End-to-End Aspect-Based Sentiment Triplet Extraction von Fei, Hao, Ren, Yafeng, Zhang, Yue, Ji, Donghong

“… Aspect-based sentiment triplet extraction (ASTE) aims at recognizing the joint triplets from texts, i.e., aspect terms, opinion expressions, and correlated …”
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A review on the attention mechanism of deep learning von Niu, Zhaoyang, Zhong, Guoqiang, Yu, Hui

“… Attention has arguably become one of the most important concepts in the deep learning field. It is inspired by the biological systems of humans that tend to …”
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