most citedReport on UG^2+ Challenge Track 1: Assessing Algorithms to Improve Video Object Detection and Classification from Unconstrained Mobility Platforms

5 citations · 5 across the 1 of their papers we have counts for

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cs.CV2019★ 5 cited

Report on UG^2+ Challenge Track 1: Assessing Algorithms to Improve Video Object Detection and Classification from Unconstrained Mobility Platforms

Sreya Banerjee, Rosaura G. VidalMata, Zhangyang Wang +1

How can we effectively engineer a computer vision system that is able to interpret videos from unconstrained mobility platforms like UAVs? One promising option is to make use of im…