PSConv: Squeezing Feature Pyramid into One Compact Poly-Scale Convolutional Layer

13 Jul 2020Duo LiAnbang YaoQifeng Chen

Despite their strong modeling capacities, Convolutional Neural Networks (CNNs) are often scale-sensitive. For enhancing the robustness of CNNs to scale variance, multi-scale feature fusion from different layers or filters attracts great attention among existing solutions, while the more granular kernel space is overlooked... (read more)

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