Paper inconsistencies about lab HOT 2 CLOSED

I feel the same thing, can the author explain it?

from lab.

Hi,

Thanks for your interest!

1. we report the results in Table 4 in order to evaluate the ability of cross-dataset auxiliary training of our method rather than comparison. LAB w/o boundary is obtained by a Res-18 modified by adding two
   fully-connected layers with 256 units and cut to left only a quarter of feature maps on each layer. We trained from scratch and dropout with 0.5 is used before the first fully-connection layer.
2. We are sorry that some details are missed in our original version of the paper. The inconsistency is caused by the different stacks of hourglass are used in the model. We have updated the results in Table. 1 in this version: https://wywu.github.io/projects/LAB/support/LAB.pdf. We will upload it to Arxiv later.

Best,
Wayne

from lab.