Cascade RPN: Delving into High-Quality Region Proposal Network with Adaptive Convolution

Thang VuHyunjun JangTrung X. PhamChang D. Yoo

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This paper considers an architecture referred to as Cascade Region Proposal Network (Cascade RPN) for improving the region-proposal quality and detection performance by \textit{systematically} addressing the limitation of the conventional RPN that \textit{heuristically defines} the anchors and \textit{aligns} the features to the anchors. First, instead of using multiple anchors with predefined scales and aspect ratios, Cascade RPN relies on a \textit{single anchor} per location and performs multi-stage refinement... (read more)

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