Multi-Scale Continuous CRFs as Sequential Deep Networks for Monocular Depth Estimation

This paper addresses the problem of depth estimation from a single still image. Inspired by recent works on multi- scale convolutional neural networks (CNN), we propose a deep model which fuses complementary information derived from multiple CNN side outputs... (read more)

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Datasets


Results from the Paper


TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT BENCHMARK
Monocular Depth Estimation NYU-Depth V2 Xu et al. RMSE 0.586 # 21
Depth Estimation NYU-Depth V2 MS-CRF RMS 0.586 # 7

Methods used in the Paper


METHOD TYPE
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