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What is Tiny Object Detection with FPN and Augmentation about?

This paper presents a novel feature pyramid network that enhances tiny object detection through context augmentation and feature refinement. The proposed method addresses the challenges of low resolution and small size of tiny objects by integrating multi-scale dilated convolution features and a unique data augmentation technique called copy-reduce-paste. Experimental results demonstrate a significant improvement in detection accuracy, achieving a mean average precision of 16.9% on the VOC dataset, surpassi

Author

2794411427

Language

EN