Systems and methods for domain adaptation are provided. The system aligns image level features between a source domain and a target domain based on an adversarial learning process while training a domain discriminator (710). The system selects, using the domain discriminator, unlabeled samples from the target domain that are far away from existing annotated samples from the target domain (720). The system selects, based on a prediction score of each of the unlabeled samples (730), samples with lower prediction scores (740). The system annotates the samples with the lower prediction scores (750).
DOMAIN ADAPTATION FOR INSTANCE DETECTION AND SEGMENTATION