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P2Net

Results on NYU v2 test set

Backbone Resolution Sup PP Train Abs Rel. Sq Rel. RMSE log10 A1 Model
Res18(3f) 288x384 Mono Reported 0.159 - 0.599 0.068 0.772 -
Res18(5f) 288x384 Mono Reported 0.150 - 0.561 0.064 0.796 -
Res18(5f) 288x384 Mono gpp Reported 0.147 - 0.553 0.062 0.801 -
Res18(5f) 288x384 Mono Official 0.149 - 0.556 0.063 0.797 Baidu/Google
Res18(5f) 288x384 Mono gpp Official 0.146 - 0.545 0.062 0.804 Baidu/Google
  • Reported means that the results are reported in the paper.
  • Official means that the results are predicted with the models got from their Official Implementations.
  • Trained means that the results are predicted with the models trained with this repository.
  • code for all the download links of pan Baidu is smde.