Advanced Research and Applications of Deep Learning and Neural Network in Image Recognition
This reprint aims to immerse the reader in the latest research and applications of deep learning and neural networks in image recognition. Deep learning algorithms are the major driving force behind recent advances in image classification. The success of deep learning is powered by two crucial issue...
Tallennettuna:
| Aineistotyyppi: | Online |
|---|---|
| Kieli: | englanti |
| Julkaistu: |
MDPI - Multidisciplinary Digital Publishing Institute
2024
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| Aiheet: | |
| Linkit: | ONIX_20240514_9783725804238_283 |
| Tagit: |
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| _version_ | 1863731169899577344 |
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| collection | Directory of Open Access Books |
| description | This reprint aims to immerse the reader in the latest research and applications of deep learning and neural networks in image recognition. Deep learning algorithms are the major driving force behind recent advances in image classification. The success of deep learning is powered by two crucial issues: large-scale training datasets and powerful computational platforms. In most cases, the performances obtained by deep neural networks are much better than those of hand-crafted delicate image features. Yet, despite the great success of deep learning in image recognition, numerous challenges remain. This Special Issue aims to present new solutions to these challenging problems. |
| format | Online |
| id | doab-20.500.12854ir-137686 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1376862024-05-14T14:07:19Z Advanced Research and Applications of Deep Learning and Neural Network in Image Recognition Dong, Ganggang Ye, Yuanxin Huang, Zhongling multi-scale residual group attention U-Net smoke segmentation global information residential area extraction mapping requirement contour regularization end-to-end deep model Tian-Hui 1 satellite images quadrupeds pose estimation HRNet network gait parameters cyclic federated learning non-IID distribution information sharing knowledge distillation chamfer distance convolutional neural network face verification Siamese network head pose estimation architecture improvement dynamic channel pruning memory access improvement Generalized Zero-Shot Learning discriminative semantic-relevant image classification partially-shared multi-task learning transferable representation deep learning 3D object detection lidar point cloud transformer MobileNetV3 morphological algorithm railway extraction aerial imagery polarization direction measurement CNN global average pooling algorithm image stitching image unmixing in-screen fingerprint recognition OLED n/a thema EDItEUR::J Society and Social Sciences::JH Sociology and anthropology::JHB Sociology::JHBA Social theory This reprint aims to immerse the reader in the latest research and applications of deep learning and neural networks in image recognition. Deep learning algorithms are the major driving force behind recent advances in image classification. The success of deep learning is powered by two crucial issues: large-scale training datasets and powerful computational platforms. In most cases, the performances obtained by deep neural networks are much better than those of hand-crafted delicate image features. Yet, despite the great success of deep learning in image recognition, numerous challenges remain. This Special Issue aims to present new solutions to these challenging problems. 2024-05-14T14:07:14Z 2024-05-14T14:07:14Z 2024 book ONIX_20240514_9783725804238_283 9783725804238 9783725804245 https://directory.doabooks.org/handle/20.500.12854/137686 eng application/octet-stream Attribution-NonCommercial-NoDerivatives 4.0 International https://mdpi.com/books/pdfview/book/8905 https://mdpi.com/books/pdfview/book/8905 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-7258-0424-5 10.3390/books978-3-7258-0424-5 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783725804238 9783725804245 212 open access |
| spellingShingle | multi-scale residual group attention U-Net smoke segmentation global information residential area extraction mapping requirement contour regularization end-to-end deep model Tian-Hui 1 satellite images quadrupeds pose estimation HRNet network gait parameters cyclic federated learning non-IID distribution information sharing knowledge distillation chamfer distance convolutional neural network face verification Siamese network head pose estimation architecture improvement dynamic channel pruning memory access improvement Generalized Zero-Shot Learning discriminative semantic-relevant image classification partially-shared multi-task learning transferable representation deep learning 3D object detection lidar point cloud transformer MobileNetV3 morphological algorithm railway extraction aerial imagery polarization direction measurement CNN global average pooling algorithm image stitching image unmixing in-screen fingerprint recognition OLED n/a thema EDItEUR::J Society and Social Sciences::JH Sociology and anthropology::JHB Sociology::JHBA Social theory Advanced Research and Applications of Deep Learning and Neural Network in Image Recognition |
| title | Advanced Research and Applications of Deep Learning and Neural Network in Image Recognition |
| title_full | Advanced Research and Applications of Deep Learning and Neural Network in Image Recognition |
| title_fullStr | Advanced Research and Applications of Deep Learning and Neural Network in Image Recognition |
| title_full_unstemmed | Advanced Research and Applications of Deep Learning and Neural Network in Image Recognition |
| title_short | Advanced Research and Applications of Deep Learning and Neural Network in Image Recognition |
| title_sort | advanced research and applications of deep learning and neural network in image recognition |
| topic | multi-scale residual group attention U-Net smoke segmentation global information residential area extraction mapping requirement contour regularization end-to-end deep model Tian-Hui 1 satellite images quadrupeds pose estimation HRNet network gait parameters cyclic federated learning non-IID distribution information sharing knowledge distillation chamfer distance convolutional neural network face verification Siamese network head pose estimation architecture improvement dynamic channel pruning memory access improvement Generalized Zero-Shot Learning discriminative semantic-relevant image classification partially-shared multi-task learning transferable representation deep learning 3D object detection lidar point cloud transformer MobileNetV3 morphological algorithm railway extraction aerial imagery polarization direction measurement CNN global average pooling algorithm image stitching image unmixing in-screen fingerprint recognition OLED n/a thema EDItEUR::J Society and Social Sciences::JH Sociology and anthropology::JHB Sociology::JHBA Social theory |
| topic_facet | multi-scale residual group attention U-Net smoke segmentation global information residential area extraction mapping requirement contour regularization end-to-end deep model Tian-Hui 1 satellite images quadrupeds pose estimation HRNet network gait parameters cyclic federated learning non-IID distribution information sharing knowledge distillation chamfer distance convolutional neural network face verification Siamese network head pose estimation architecture improvement dynamic channel pruning memory access improvement Generalized Zero-Shot Learning discriminative semantic-relevant image classification partially-shared multi-task learning transferable representation deep learning 3D object detection lidar point cloud transformer MobileNetV3 morphological algorithm railway extraction aerial imagery polarization direction measurement CNN global average pooling algorithm image stitching image unmixing in-screen fingerprint recognition OLED n/a thema EDItEUR::J Society and Social Sciences::JH Sociology and anthropology::JHB Sociology::JHBA Social theory |
| url | ONIX_20240514_9783725804238_283 |