Deep Learning in Computer Vision: Principles and Applications

ISBN-13: 9781138544420 / Angielski / Twarda / 2020 / 322 str.

Mahmoud Hassaballah; Ali Ismail Awad

Opis

This book presents a collection of eleven chapters where each individual chapter explains the deep learning principles of a specific topic, introduces reviews of up-to-date techniques, and presents research findings to the computer vision community.

Spis treści

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