Deep learning in computer vision : principles and applications /
Deep learning in computer vision : principles and applications /
dited by Mahmoud Hassaballah, Ali Ismail Awad.
- First edition.
- 322 pages : illustrations ; 23 cm.
Includes index.
Chapter 1: Accelerating the CNN Inference on FPGAs -- Chapter 2: Object Detection with Convolutional Neural Networks -- Chapter 3: Efficient Convolutional Neural Networks for Fire Detection in Surveillance Applications -- Chapter 4: A Multi-biometric Face Recognition System Based on Multimodal Deep Learning Representations -- Chapter 5: Deep LSTM‑Based Sequence Learning Approaches for Action and Activity Recognition -- Chapter 6: Deep Semantic Segmentation in Autonomous Driving -- Chapter 7: Aerial Imagery Registration Using Deep Learning for UAV Geolocalization -- Chapter 8: Applications of Deep Learning in Robot Vision -- Chapter 9: Deep Convolutional Neural Networks: Foundations and Applications in Medical Imaging -- Chapter 10: Lossless Full‑Resolution Deep Learning Convolutional Networks for Skin Lesion Boundary Segmentation -- Chapter 11: Skin Melanoma Classification Using Deep Convolutional Neural Networks.
A collection of eleven focused chapters providing comprehensive coverage on how deep learning advances are applied to solve computer vision challenges—from accelerating CNN on FPGAs to medical imaging segmentation—designed as a valuable resource for researchers and graduate students.
9781032242859
Deep learning--Applications in computer vision.
Computer vision--Algorithms and applications.
Medical imaging--Deep learning.
006.37 / D.E.E
Includes index.
Chapter 1: Accelerating the CNN Inference on FPGAs -- Chapter 2: Object Detection with Convolutional Neural Networks -- Chapter 3: Efficient Convolutional Neural Networks for Fire Detection in Surveillance Applications -- Chapter 4: A Multi-biometric Face Recognition System Based on Multimodal Deep Learning Representations -- Chapter 5: Deep LSTM‑Based Sequence Learning Approaches for Action and Activity Recognition -- Chapter 6: Deep Semantic Segmentation in Autonomous Driving -- Chapter 7: Aerial Imagery Registration Using Deep Learning for UAV Geolocalization -- Chapter 8: Applications of Deep Learning in Robot Vision -- Chapter 9: Deep Convolutional Neural Networks: Foundations and Applications in Medical Imaging -- Chapter 10: Lossless Full‑Resolution Deep Learning Convolutional Networks for Skin Lesion Boundary Segmentation -- Chapter 11: Skin Melanoma Classification Using Deep Convolutional Neural Networks.
A collection of eleven focused chapters providing comprehensive coverage on how deep learning advances are applied to solve computer vision challenges—from accelerating CNN on FPGAs to medical imaging segmentation—designed as a valuable resource for researchers and graduate students.
9781032242859
Deep learning--Applications in computer vision.
Computer vision--Algorithms and applications.
Medical imaging--Deep learning.
006.37 / D.E.E