Abstract
Nowadays, deep learning is the fastest growing research field in machine learning and has a tremendous impact on a plethora of daily life applications, ranging from security and surveillance to autonomous driving, automatic indexing and retrieval of media content, text analysis, speech recognition, automatic translation, and many others [...]
Highlights
Nowadays, deep learning is the fastest growing research field in machine learning and has a tremendous impact on a plethora of daily life applications, ranging from security and surveillance to autonomous driving, automatic indexing and retrieval of media content, text analysis, speech recognition, automatic translation, and many others
The lightning fast progress of the research in deep learning is testified by the success of this special issue, which witnessed the submission of promising works in several fields like computer vision, signal processing, and natural language processing
Most of the works accepted to this special issue deal with computer vision applications, in general, and with image classification and object detection, in particular, with authors putting considerable effort in proposing novel and state-of-the-art classification techniques
Summary
Deep learning is the fastest growing research field in machine learning and has a tremendous impact on a plethora of daily life applications, ranging from security and surveillance to autonomous driving, automatic indexing and retrieval of media content, text analysis, speech recognition, automatic translation, and many others. The lightning fast progress of the research in deep learning is testified by the success of this special issue, which witnessed the submission of promising works in several fields like computer vision, signal processing, and natural language processing. The heterogeneity of the proposed approaches characterizes these works, which span discriminative and generative methods, adversarial perturbations, and reinforcement learning. The rest of this editorial summarizes the works published in this special issue on a per-theme basis
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