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Found 5 papers, 2 papers with code
Simple In-place Data Augmentation for Surveillance Object Detection
Motivated by the need to improve model performance in traffic monitoring tasks with limited labeled samples, we propose a straightforward augmentation technique tailored for object detection datasets, specifically designed for stationary camera-based applications.
The 8th AI City Challenge
The eighth AI City Challenge highlighted the convergence of computer vision and artificial intelligence in areas like retail, warehouse settings, and Intelligent Traffic Systems (ITS), presenting significant research opportunities.
FishEye8K: A Benchmark and Dataset for Fisheye Camera Object Detection
With the advance of AI, road object detection has been a prominent topic in computer vision, mostly using perspective cameras.
Ranked #1 on
2D Object Detection
on FishEye8K
SHEL5K: An Extended Dataset and Benchmarking for Safety Helmet Detection
The SHEL5K dataset had an advantage over other safety helmet datasets as it contains fewer images with better labels and more classes, making helmet detection more accurate.
Ranked #1 on
Object Detection
on SHEL5K
Residual Bi-Fusion Feature Pyramid Network for Accurate Single-shot Object Detection
A new structure "residual feature pyramid" is proposed in this paper.
