semantic stixels: depth is not enough l. schneider, m ... · l. schneider, m. cordts, t. rehfeld,...
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![Page 1: Semantic Stixels: Depth is Not Enough L. Schneider, M ... · L. Schneider, M. Cordts, T. Rehfeld, D. Pfei er, M. Enzweiler, U. Franke, M. Pollefeys, and S. Roth (IV 2016) I Joint](https://reader033.vdocuments.site/reader033/viewer/2022050404/5f82058a71988100556c931b/html5/thumbnails/1.jpg)
Semantic Stixels: Depth is Not EnoughL. Schneider, M. Cordts, T. Rehfeld, D. Pfeiffer, M. Enzweiler, U. Franke,
M. Pollefeys, and S. Roth (IV 2016)
I Joint inference of geometric and semantic layout of a scene using stixels
I Geometry as a dense disparity map (SGM)
I Semantics as a pixel-level semantic scene labelling (CNNs)
I Stixel representation with object class information
I Better than original Stixel model in terms of geometric accuracy
I Complexity (time): linear in the number of object classes (15 Hz on 2 MP images)
I Evaluated on the subset of KITTI 2012 annotated semantically, KITTI 2015 (onlydisparity), Cityscapes (only semantics)