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8 Pages, 1,473 KB Download PDF

Object Classifications by Image Super-Resolution Preprocessing for Convolutional Neural Networks

Advances in Science, Technology and Engineering Systems Journal, Volume 5, Issue 2, Page # 476–483, 2020; DOI: 10.25046/aj050261
Abstract:

Blurred small objects produced by cropping, warping, or intrinsically so, are challenging to detect and classify. Therefore, much recent research is focused on feature extraction built on Faster R-CNN and follow-up systems. In particular, RPN, SPP, FPN, SSD, and DSSD are the layered feature extraction methods for multiple object detections and small objects. However, super-resolution…

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(This article belongs to Section Artificial Intelligence in Computer Science (CAI))

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