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Phase-Shifting Coder: Predicting Accurate Orientation in Oriented Object Detection

CVPR 2023 · Detection and segmentation › CNN features · approach: Box regression and loss design · 181 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use dual-frequency PSC instead of single-frequency PSC (ablation)YOLOv5s · DOTAmAP75: 47.56 -> 51.50Helped
Use dual-frequency PSC instead of single-frequency PSC (ablation)YOLOv5m · DOTAmAP75: 50.50 -> 54.10Helped
Use dual-frequency PSC instead of single-frequency PSC (ablation)FCOS and RetinaNet · HRSCmAP75Hurt
Use dual-frequency PSC instead of single-frequency PSC (ablation)FCOS and RetinaNet · OCDPCBmAP75Hurt
Vary Nstep among 3, 4, and 5 (ablation)RetinaNet + PSCD · DOTA and HRSCmAPNo clear effect
Use PSC rather than CSLOriented detectors · DOTAmAP75: +2.59 ppHelped
Use PSCD rather than KLDOriented detectors · DOTAmAP75: +2.36 ppHelped
Use PSC rather than KLDFCOS and RetinaNet · HRSCmAP75: 1.1 pp and 2.54 ppHelped
Use PSC rather than KLDOriented detectors · OCDPCBmAP75: 9.83 ppHelped
Use PSC angle codingRetinaNet (R-50) · DOTA, 1024 × 1024 imagesinference time: 43.0 -> 43.1 msHurt
Use PSCD angle codingRetinaNet (R-50) · DOTA, 1024 × 1024 imagesinference time: 43.0 -> 43.4 msHurt

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