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Generative Adversarial Networks for Image-to-Image Translation
Examines the concepts and technical methods of data deduplication for a wide variety of applications
Arun Solanki (Edited by), Anand Nayyar (Edited by), Mohd Naved (Edited by)
9780128235195
Paperback, published 23 June 2021
444 pages
23.4 x 19 x 2.8 cm, 0.45 kg
Approx.430 pages
1. Super-Resolution based GAN for Image Processing: Recent Advances and Future Trends 2. GAN models in Natural Language Processing and Image Translation 3. Generative Adversarial Networks and their variants 4. Comparative Analysis of Filtering Methods in Fuzzy C-Mean Environment for DICOM Image Segmentation 5. A Review on the Techniques for Generation of Images using GAN 6. A Review of Techniques to Detect the GAN Generated Fake Images 7. Synthesis of Respiratory Signals using Conditional Generative Adversarial Networks from Scalogram Representation 8. Visual Similarity-Based Fashion Recommendation System 9. Deep learning based vegetation index estimation 10. Image Generation using Generative Adversarial Networks 11. Generative Adversarial Networks for Histopathology Staining 12. ANALYSIS OF FALSE DATA DETECTION RATE IN GENERATIVE ADVERSARIAL NETWORKS USING RECURRENT NEURAL NETWORK 13. WGGAN: A Wavelet-Guided Generative Adversarial Network for Thermal Image Translation 14. GENERATIVE ADVERSARIAL NETWORK FOR VIDEO ANALYTICS 15. Multimodal reconstruction of retinal images over unpaired datasets using cyclical generative adversarial networks 16. Generative Adversarial Network for Video Anomaly Detection
Subject Areas: Biomedical engineering [MQW]
