Web: http://arxiv.org/abs/2206.08236

June 17, 2022, 1:11 a.m. | Dushyant Mehta, Andrii Skliar, Haitam Ben Yahia, Shubhankar Borse, Fatih Porikli, Amirhossein Habibian, Tijmen Blankevoort

cs.LG updates on arXiv.org arxiv.org

Though the state-of-the architectures for semantic segmentation, such as
HRNet, demonstrate impressive accuracy, the complexity arising from their
salient design choices hinders a range of model acceleration tools, and further
they make use of operations that are inefficient on current hardware. This
paper demonstrates that a simple encoder-decoder architecture with a
ResNet-like backbone and a small multi-scale head, performs on-par or better
than complex semantic segmentation architectures such as HRNet, FANet and
DDRNets. Naively applying deep backbones designed for Image …

arxiv cv segmentation semantic

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