Sparsity Invariant CNNs

22 Aug 2017Jonas UhrigNick SchneiderLukas SchneiderUwe FrankeThomas BroxAndreas Geiger

In this paper, we consider convolutional neural networks operating on sparse inputs with an application to depth upsampling from sparse laser scan data. First, we show that traditional convolutional networks perform poorly when applied to sparse data even when the location of missing data is provided to the network... (read more)

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TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK SOURCE PAPER COMPARE
Depth Completion KITTI Depth Completion SparseConvs RMSE 1601 # 12
MAE 481 # 12

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