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...

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Формат:	Online
Язык:	английский
Опубликовано:	MDPI - Multidisciplinary Digital Publishing Institute 2024
Предметы:	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
Online-ссылка:	ONIX_20240514_9783725804238_283
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Advanced Research and Applications of Deep Learning and Neural Network in Image Recognition

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