Multichannel Semantic Segmentation with Unsupervised Domain Adaptation

11 Dec 2018Kohei WatanabeKuniaki SaitoYoshitaka UshikuTatsuya Harada

Most contemporary robots have depth sensors, and research on semantic segmentation with RGBD images has shown that depth images boost the accuracy of segmentation. Since it is time-consuming to annotate images with semantic labels per pixel, it would be ideal if we could avoid this laborious work by utilizing an existing dataset or a synthetic dataset which we can generate on our own... (read more)

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