Multi-faceted Deep Learning

Multi-faceted Deep Learning

Models and Data

Benois-Pineau, Jenny; Zemmari, Akka

Springer Nature Switzerland AG

10/2022

316

Mole

Inglês

9783030744809

15 a 20 dias

504

Descrição não disponível.
1. Introduction.- 2. Deep Neural Networks: Models and methods.- 3. Deep learning for semantic segmentation.- 4. Beyond Full Supervision in Deep Learning.- 5. Similarity Metric Learning.- 6. Zero-shot Learning with Deep Neural Networks for Object Recognition.- 7. Image and Video Captioning using Deep Architectures.- 8. Deep Learning in Video Compression Algorithms.- 9. 3D Convolutional Networks for Action Recognition: Application toSport Gesture Recognition.- 10. Deep Learning for Audio and Music.- 11. Explainable AI for Medical Imaging:Knowledge Matters.- 12. Improving Video Quality with Generative Adversarial Networks.- 13. Conclusion.
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Artificial Intelligence;Deep Learning;Deep Neural Networks;low supervision;explainability of Deep learning;semantic segmentation with Deep learning approaches;machine learning;multimedia;computer vision;video and audio content mining;medical image applications