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PolarDet: A Fast, More Precise Detector for Rotated Target in Aerial Images
Fast and precise object detection for high-resolution aerial images has been a challenging task over the years.
Ranked #35 on
Object Detection In Aerial Images
on DOTA
(using extra training data)
Deep Active Learning for Remote Sensing Object Detection
Recently, CNN object detectors have achieved high accuracy on remote sensing images but require huge labor and time costs on annotation.
PartsNet: A Unified Deep Network for Automotive Engine Precision Parts Defect Detection
Defect detection is a basic and essential task in automatic parts production, especially for automotive engine precision parts.
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