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PackNet

Results on KITTI raw test set

Backbone Resolution Sup PP Train Abs Rel. Sq Rel. RMSE RMSElog A1 Model
PackNet 192x640 Mono Reported 0.111 0.785 4.601 0.189 0.878 -
PackNet 192x640 Mono Official 0.110 0.842 4.664 0.187 0.881 Baidu/Google
PackNet 384x1280 Mono(v/CS+K) Reported 0.103 0.796 4.404 0.189 0.881 -
PackNet 384x1280 Mono(v/CS+K) Official 0.119 0.918 4.861 0.207 0.869 Baidu/Google

Results on KITTI improved test set

Backbone Resolution Sup PP Train Abs Rel. Sq Rel. RMSE RMSElog A1 Model
PackNet 192x640 Mono Reported 0.078 0.420 3.485 0.121 0.931 -
PackNet 192x640 Mono Official 0.079 0.446 3.575 0.123 0.928 Baidu/Google
PackNet 384x1280 Mono(v/CS+K) Reported 0.075 0.420 3.293 0.114 0.938 -
PackNet 384x1280 Mono(v/CS+K) Official 0.084 0.477 3.612 0.130 0.923 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.