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- W2807005761 abstract "In this work, we evaluate the use of superpixel pooling layers in deep network architectures for semantic segmentation. Superpixel pooling is a flexible and efficient replacement for other pooling strategies that incorporates spatial prior information. We propose a simple and efficient GPU-implementation of the layer and explore several designs for the integration of the layer into existing network architectures. We provide experimental results on the IBSR and Cityscapes dataset, demonstrating that superpixel pooling can be leveraged to consistently increase network accuracy with minimal computational overhead. Source code is available at this https URL" @default.
- W2807005761 created "2018-06-13" @default.
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- W2807005761 date "2018-06-07" @default.
- W2807005761 modified "2023-09-27" @default.
- W2807005761 title "Efficient semantic image segmentation with superpixel pooling." @default.
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