Articles with "intermediate outputs" as a keyword



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Aggregation of Masked Outputs for Improving Accuracy–Cost Trade-Off in Semantic Segmentation

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Published in 2023 at "IEEE Access"

DOI: 10.1109/access.2023.3265077

Abstract: Downsampling layers are essential for convolutional neural network-based semantic segmentation methods to widen their receptive fields. However, as fine-grained information is lost in the layers, the accuracy of these methods becomes limited. The need for… read more here.

Keywords: semantic segmentation; computational cost; intermediate outputs; cost ... See more keywords