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检索条件"主题词=Encoder-Decoder Architecture"
142 条 记 录,以下是61-70 订阅
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PMED-Net: Pyramid Based Multi-Scale encoder-decoder Network for Medical Image Segmentation
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IEEE ACCESS 2021年 9卷 55988-55998页
作者: Khan, Abbas Kim, Hyongsuk Chua, Leon Jeonbuk Natl Univ Div Elect & Informat Engn Jeonju 54896 South Korea Jeonbuk Natl Univ Core Res Inst Intelligent Robots Jeonju 54896 South Korea Univ Calif Berkeley Dept Elect Engn & Comp Sci Berkeley CA 94720 USA
A pyramidical multi-scale encoder-decoder network, namely PMED-Net, is proposed for medical image segmentation. Different variants of encoder-decoder networks are in practice for segmenting the medical images and U-Ne... 详细信息
来源: 评论
CLR2G: Cross-modal Contrastive Learning on Radiology Report Generation  24
CLR2G: Cross-modal Contrastive Learning on Radiology Report ...
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33rd ACM International Conference on Information and Knowledge Management (CIKM)
作者: Xue, Hongchen Ma, Qingzhi Liu, Guanfeng Qu, Jianfeng Liu, Yuanjun Liu, An Soochow Univ Sch Comp Sci & Technol Suzhou Peoples R China Macquarie Univ Sch Comp Sydney NSW Australia
The automatic generation of radiological imaging reports aims to produce accurate and coherent clinical descriptions based on X-ray images. This facilitates clinicians in completing the arduous task of report writing ... 详细信息
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Crack analysis of tall concrete wind towers using an ad-hoc deep multiscale encoder-decoder with depth separable convolutions under severely imbalanced data
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STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL 2024年
作者: Deng, Jianghua Hua, Linxin Lu, Ye Song, Yang Singh, Amardeep Che, Jiao Li, Yang Changzhou Inst Technol Sch Civil Engn & Architecture 666 Liaohe Rd Changzhou 213002 Peoples R China Monash Univ Dept Civil Engn Melbourne Australia Changzhou Inst Technol Sch Photoelect Engn Changzhou Peoples R China
An accurate and timely cracking assessment, including the presence, location and crack geometric feature measurement, is crucial for evaluating concrete wind towers. Therefore, the early identification of cracks is a ... 详细信息
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Open-ended remote sensing visual question answering with transformers
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INTERNATIONAL JOURNAL OF REMOTE SENSING 2022年 第18期43卷 6809-6823页
作者: Al Rahhal, Mohamad M. Bazi, Yakoub Alsaleh, Sara O. Al-Razgan, Muna Mekhalfi, Mohamed Lamine Al Zuair, Mansour Alajlan, Naif King Saud Univ Coll Appl Comp Sci Appl Comp Sci Dept Riyadh Saudi Arabia King Saud Univ Coll Comp & Informat Sci Comp Engn Dept Riyadh Saudi Arabia King Saud Univ Coll Comp & Informat Sci Dept Software Engn Riyadh Saudi Arabia Fdn Bruno Kessler Digital Ind Ctr Technol Vis Unit Trento Italy King Saud Univ Coll Appl Comp Sci Appl Comp Sci Dept PO Box 51178 Riyadh 11543 Saudi Arabia
Visual question answering (VQA) has been attracting attention in remote sensing very recently. However, the proposed solutions remain rather limited in the sense that the existing VQA datasets address closed-ended que... 详细信息
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CFN: A coarse-to-fine network for eye fixation prediction
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IET IMAGE PROCESSING 2022年 第9期16卷 2373-2383页
作者: Xu, Binwei Liang, Haoran Liang, Ronghua Chen, Peng Zhejiang Univ Technol Coll Comp Sci & Technol Hangzhou 31023 Peoples R China
Many image-to-image computer vision approaches have made great progress by an end-to-end framework with the encoder-decoder architecture. However, the same image-to-image eye fixation prediction task is not the same a... 详细信息
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A Mono SLAM Method Based on Depth Estimation by DenseNet-CNN
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IEEE SENSORS JOURNAL 2022年 第3期22卷 2447-2455页
作者: Jin, Yifan Yu, Lei Chen, Zhong Fei, Shumin Huaiyin Inst Technol Jiangsu Key Lab Adv Mfg Technol Huaian 223003 Peoples R China Soochow Univ Sch Mech & Elect Engn Suzhou 215000 Peoples R China Southeast Univ Sch Automat Nanjing 210000 Peoples R China
Currently, SLAM (simultaneous localization and mapping) systems based on monocular cameras cannot directly obtain depth information, and most of them have problems with scale uncertainty and need to be initialized. In... 详细信息
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LiCENt: Low-Light Image Enhancement Using the Light Channel of HSL
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IEEE ACCESS 2022年 10卷 33547-33560页
作者: Garg, Atik Pan, Xin-Wen Dung, Lan-Rong Natl Yang Ming Chiao Tung Univ EECS Int Grad Program Hsinchu 30010 Taiwan Natl Yang Ming Chiao Tung Univ Dept Elect & Comp Engn Hsinchu 30010 Taiwan
Images captured in low-brightness environments often lead to poor visibility and exhibit artifacts such as low brightness, low contrast, and color distortion. These artifacts not only affect the visual perception of t... 详细信息
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ClarifyNet: A high-pass and low-pass filtering based CNN for single image dehazing
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JOURNAL OF SYSTEMS architecture 2022年 第0期132卷
作者: Susladkar, Onkar Deshmukh, Gayatri Nag, Subhrajit Mantravadi, Ananya Makwana, Dhruv Ravichandran, Sujitha Teja, R. Sai Chandra Chavhan, Gajanan H. Mohan, C. Krishna Mittal, Sparsh Vishwakarma Inst Informat Technol Pune India IIT Hyderabad Hyderabad India IIIT Raichur Raichur India CKM Vigil Pvt Ltd Hyderabad India NIT Trichy Trichy India IIT Roorkee Roorkee India
Dehazing refers to removing the haze and restoring the details from hazy images. In this paper, we propose ClarifyNet, a novel, end-to-end trainable, convolutional neural network architecture for single image dehazing... 详细信息
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TATL: Task agnostic transfer learning for skin attributes detection
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MEDICAL IMAGE ANALYSIS 2022年 第0期78卷 102359-102359页
作者: Nguyen, Duy M. H. Nguyen, Thu T. Vu, Huong Pham, Quang Manh-Duy Nguyen Nguyen, Binh T. Sonntag, Daniel German Res Ctr Artificial Intelligence Saarbrucken Germany Max Planck Inst Informat Saarbrucken Germany Univ Louisiana Lafayette Lafayette LA 70504 USA Univ Calif Berkeley Berkeley CA 94720 USA Singapore Management Univ Sch Comp & Informat Syst Singapore Singapore Dublin City Univ Sch Comp Dublin Ireland AISIA Res Lab Ho Chi Minh City Vietnam Univ Science Ho Chi Minh City Vietnam Vietnam Natl Univ Ho Chi Minh City Vietnam Oldenburg Univ Oldenburg Germany
Existing skin attributes detection methods usually initialize with a pre-trained Imagenet network and then fine-tune on a medical target task. However, we argue that such approaches are suboptimal be-cause medical dat... 详细信息
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WaferSegClassNet - A light-weight network for classification and segmentation of semiconductor wafer defects
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COMPUTERS IN INDUSTRY 2022年 142卷
作者: Nag, Subhrajit Makwana, Dhruv Teja, Sai Chandra R. Mittal, Sparsh Mohan, C. Krishna IIT Hyderabad Hyderabad India CKMVigil Pvt Ltd Hyderabad India IIT Roorkee Roorkee Uttar Pradesh India
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 the manual inspection of wafer defects is costly, an automa... 详细信息
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