Introduces importance-aware loss and BiERF-PSPNet extension for semantic segmentation tailored to navigational assistant systems, evaluated on CamVid and Cityscapes.
Erfnet: Effi- cient residual factorized convnet for real-time semantic segmentation,
2 Pith papers cite this work. Polarity classification is still indexing.
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UNVERDICTED 2representative citing papers
A comparison of FCNN architectures for monocular depth estimation yields a model suitable for real-time operation on NVidia Jetson hardware with evaluation in vSLAM.
citing papers explorer
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Importance-Aware Semantic Segmentation with Efficient Pyramidal Context Network for Navigational Assistant Systems
Introduces importance-aware loss and BiERF-PSPNet extension for semantic segmentation tailored to navigational assistant systems, evaluated on CamVid and Cityscapes.
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Real-time Vision-based Depth Reconstruction with NVidia Jetson
A comparison of FCNN architectures for monocular depth estimation yields a model suitable for real-time operation on NVidia Jetson hardware with evaluation in vSLAM.