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

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.

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• 1 In this paper, our focus is on CV.
• 2 We provide a critical review of recent achievements in terms of techniques and applications.
• 3 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.

This research advances how AI systems learn, reason, and solve problems — with direct implications for automation and scientific discovery.

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