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Found 2 papers, 1 papers with code
How To Effectively Train An Ensemble Of Faster R-CNN Object Detectors To Quantify Uncertainty
This paper presents a new approach for training two-stage object detection ensemble models, more specifically, Faster R-CNN models to estimate uncertainty.
Comparative study of multi-person tracking methods
The purpose of this study is to discover the techniques used and to provide useful insights about these algorithms in the tracking pipeline that could improve the performance of MOT tracking algorithms.
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