PackNet

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.