Reprojection R-CNN is a two-stage detector for 360° images combining a distortion-aware spherical RPN on ERP with a reprojection network on perspective projections, reporting higher mAP than prior methods on two new synthetic datasets at 178 ms per image.
Frederick Pearson
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Reprojection R-CNN: A Fast and Accurate Object Detector for 360{\deg} Images
Reprojection R-CNN is a two-stage detector for 360° images combining a distortion-aware spherical RPN on ERP with a reprojection network on perspective projections, reporting higher mAP than prior methods on two new synthetic datasets at 178 ms per image.