Advancement of deep learning and its applications in object detection and recognition. (2023)

• Record Type: Book
• Further Information: Note: Edited by Roohie Naaz Mir, Vipul Kumar Sharma, Ranjeet Kumar Rout, Saiyed Umer.
• Editors: Mir, Roohie Naaz; Sharma, Vipul Kumar; Rout, Ranjeet Kumar; Umer, Saiyed
• Contents: 1. Recent Advances in Video Captioning with Object Detection 2. A Deep Learning Based Framework for COVID-19 Identification Using Chest X-ray Images 3. Faster Region Based Convolutional Neural Networks for the Detection of Surface Defects in Aluminum Tubes 4. Real Time Face Detection Based Automobile Safety System Using Computer Vision and Supervised Machine Learning 5. Texture Feature Descriptors for Analyzing Facial Patterns in Facial Expression Recognition System 6. A Texture Features Based Method to Detect Face Spoofing 7. Enhanced Tal Hassner and Gil Levi Approach for Prediction of Age and Gender –with Mask and Maskless 8. A Brief Overview of Recent Techniques in Crowd Counting and Density Estimation 9. Recent Trends in 2D Object Detection and Applications in Video Event Recognition 10. Survey on Vehicle Detection, Identification and Count using CNN based YOLO Architecture and Related Applications 11. An Extensive Study on Object Detection and Recognition Using Deep Learning Techniques 12. A Comprehensive Review of State-Of-The-Art Techniques of Image In-painting 13. Hybrid Leaf Generative Adversarial Networks Scheme For Classification of Tomato Leaves – Early Blight Disease or Healthy
• Edition: 1st
• Publisher Details: Gistrup : River Publishers
• Publication Date: 2023
• Extent: 1 online resource (286 pages), illustrations (black and white, and colour)
• Subjects: 006.31; Deep learning (Machine learning); Object-oriented methods (Computer science)
• Languages: English
• ISBNs: 9781000880434; 9781000880410
• Related ISBNs: 9788770227025
• Notes: Note: Description based on CIP data; resource not viewed.
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.