ImageNet performance correlates with pose estimation robustness and generalization on out-of-domain data
Published in
(2019)External Links:
TL
TL;DR
This work develops a novel dataset of 30 horses that allowed for both “within-domain” and “out-of-domain” (unseen horse) benchmarking - this is a crucial test for robustness that current human pose estimation benchmarks do not directly address.