no code implementations • 4 Mar 2023 • Yuxiang Zhang, Nicholas Bolten, Sachin Mehta, Anat Caspi
The process features the use of a multi-input segmentation network trained on our dataset to predict important classes in the pedestrian environment and then generate a connected pedestrian path network.
no code implementations • 4 Mar 2023 • Yuxiang Zhang, Suresh Devalapalli, Sachin Mehta, Anat Caspi
The inspection of the Public Right of Way (PROW) for accessibility barriers is necessary for monitoring and maintaining the built environment for communities' walkability, rollability, safety, active transportation, and sustainability.
no code implementations • 21 Jan 2021 • Yuxiang Zhang, Sachin Mehta, Anat Caspi
Semantic segmentation is a prerequisite for this task since it maps contiguous regions of the same class as single entities.
8 code implementations • ECCV 2018 • Sachin Mehta, Mohammad Rastegari, Anat Caspi, Linda Shapiro, Hannaneh Hajishirzi
We introduce a fast and efficient convolutional neural network, ESPNet, for semantic segmentation of high resolution images under resource constraints.
Ranked #48 on Semantic Segmentation on PASCAL VOC 2012 test