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Identifying "free-space," or safely driveable regions in the scene ahead, is a fundamental task for autonomous navigation. While this task can be addressed using semantic segmentation, the manual labor involved in creating pixelwise annotations to train the segmentation model is very costly. Although weakly supervised segmentation addresses this issue, most methods are not designed for free-space. In this paper, we observe that homogeneous texture and location are two key characteristics ofdoi:10.1109/cvprw.2018.00145 dblp:conf/cvpr/TsutsuiKSC18 fatcat:wt3rfaphtngztb3y4uzpxbaw7a