YOLO (You Only Look Once) - AI Research Graph - Crossminds
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YOLO (You Only Look Once) - AI Research Graph
Dr. Yi Zhu
You only look once (YOLO) is a fast and accurate real-time object detection system, first introduced by Joseph Redmon et al. in 2015. This graph maps the most important papers to understand YOLO and its latest developments.
Top related arXiv papers
Key knowledge areas
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J. Choi, Gaussian YOLOv3: An Accurate and Fast Object Detector Using Localization Uncertainty for Autonomous Driving. 2019 IEEE/CVF International Conference on Computer Vision (ICCV) 2019

J. Pedoeem, YOLO-LITE: A Real-Time Object Detection Algorithm Optimized for Non-GPU Computers. 2018 IEEE International Conference on Big Data (Big Data) 2018

P. Zhang, SlimYOLOv3: Narrower, Faster and Better for Real-Time UAV Applications. 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW) 2019

Daniel Barry, xYOLO: A Model For Real-Time Object Detection In Humanoid Soccer On Low-End Hardware. 2019 International Conference on Image and Vision Computing New Zealand (IVCNZ) 2019

Qiang Chen, You Only Look One-level Feature. ArXiv 2021