2025/06/10 by Yoon, DaeEun, Kim, Semin, Yoo, SangWook +2 · 1 citation
Computer Science · Engineering · #Advanced Neural Network Applications #Advanced Image and Video Retrieval Techniques #Infrared Target Detection Methodologies
paper · pdf · doi:10.48550/arxiv.2506.08956
In recent years, there has been tremendous progress in object detection performance. However, despite these advances, the detection performance for small objects is significantly inferior to that of large objects. Detecting small objects is one of the most challenging and important problems in computer vision. To improve the detection performance for small objects, we propose an optimal data augmentation method using Fast AutoAugment. Through our proposed method, we can quickly find optimal augmentation policies that can overcome degradation when detecting small objects, and we achieve a 20% performance improvement on the DOTA dataset.