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Keyword: Object classificationOpen AccessArticle
8 Pages, 1,473 KB 
Object Classifications by Image Super-Resolution Preprocessing for Convolutional Neural Networks
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…
Read More(This article belongs to Section Artificial Intelligence in Computer Science (CAI))