Articles with "representations residual" as a keyword



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ResDNet: Efficient Dense Multi-Scale Representations With Residual Learning for High-Level Vision Tasks.

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Published in 2022 at "IEEE transactions on neural networks and learning systems"

DOI: 10.1109/tnnls.2022.3169779

Abstract: Deep feature fusion plays a significant role in the strong learning ability of convolutional neural networks (CNNs) for computer vision tasks. Recently, works continually demonstrate the advantages of efficient aggregation strategy and some of them… read more here.

Keywords: vision tasks; dense; representations residual; high level ... See more keywords