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Efficient ConvNet for real-time semantic segmentation

https://doi.org/10.1109/ivs.2017.7995966

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Outgoing claims: the papers this work cites, builds on, or argues with.

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Pixel-Level Encoding and Depth Layering for Instance-Level Semantic Labeling

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XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks

inferredcites →https://doi.org/10.1109/cvpr.2015.7298965openalex-snapshot

Fully convolutional networks for semantic segmentation

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Efficient Piecewise Training of Deep Structured Models for Semantic Segmentation

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Weakly- and Semi-Supervised Learning of a DCNN for Semantic Image Segmentation

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Can we unify monocular detectors for autonomous driving by using the pixel-wise semantic segmentation of CNNs?

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