Adapting Object Detection to Fisheye Cameras: A Knowledge Distillation with Semi-Pseudo-Label Approach
Chih–Chung Hsu, Wen-Hai Tseng, Ming-Hsuan Wu, Chia-Ming Lee, Wei-Hao Huang · 2023
In this paper, we introduce a lightweight object detection system, custom-designed for fisheye cameras and optimized for quick deployment on embedded systems. Given the constraints of training solely on standard images, our methodology centers on the effective knowledge transfer to accentuate object detection in fisheye scenarios. The integration of the Parallel Residual Bi-Fusion (PRB) Feature Pyramid Network (FPN) into the state-of-the-art YOLOv7 backbone specifically addresses the challenges of detecting tiny objects often present in fisheye images.