Deep learning in computer vision: A critical review of emerging techniques and application scenarios

🤖 Plain-English Summary

Deep learning has been overwhelmingly successful in computer vision (CV), natural language processing, and video/speech recognition. We recognize three development stages in the past decade and emphasize research trends for future works.

🔑 Key Findings

• In this paper, our focus is on CV.
• We provide a critical review of recent achievements in terms of techniques and applications.
• We identify eight emerging techniques, investigate their origins and updates, and finally emphasize their applications in four key scenarios, including recognition, visual tracking, semantic segmentation, and image restoration.

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