Contrastive View Design Strategies to Enhance Robustness to Domain Shifts in Downstream Object Detection

Published in AAAI Workshop on Practical Deep Learning in the Wild (Practical-DL), 2023

We propose strategies to improve the out-of-domain robustness of contrastively pretrained object detectors. In particular, we augment contrastive views to learn representations that are more robust to appearance-based and out-of-context domain shifts.