Reprint

Advanced Research and Applications of Deep Learning and Neural Network in Image Recognition

Edited by
March 2024
212 pages
  • ISBN978-3-7258-0423-8 (Hardback)
  • ISBN978-3-7258-0424-5 (PDF)

This book is a reprint of the Special Issue Advanced Research and Applications of Deep Learning and Neural Network in Image Recognition that was published in

Computer Science & Mathematics
Engineering
Physical Sciences
Summary

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
  • Hardback
License and Copyright
© 2022 by the authors; CC BY-NC-ND license
Keywords
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; convolutional neural network; Siamese network; convolutional neural network; 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; deep learning; MobileNetV3; morphological algorithm; railway extraction; aerial imagery; polarization direction measurement; CNN; global average pooling; algorithm; deep learning; image stitching; image unmixing; in-screen fingerprint recognition; OLED; n/a