Out of domain robustness

Pretraining boosts out-of-domain robustness for pose estimation

Neural networks are highly effective tools for pose estimation. However, as in other computer vision tasks, robustness to out-of-domain data remains a challenge, especially for small training sets that are common for real-world applications. Here, we …

ImageNet performance correlates with pose estimation robustness and generalization on out-of-domain data

Neural networks are highly effective tools for pose estimation. However, robustness to outof-domain data remains a challenge, especially for small training sets that are common for realworld applications. Here, we probe the generalization ability …