Semantic-Promoted Debiasing and Background Disambiguation for Zero-Shot Instance Segmentation
Semantic-Promoted Debiasing and Background Disambiguation for Zero-Shot Instance Segmentation
Zero-shot instance segmentation aims to detect and precisely segment objects of unseen categories without any training samples. Since the model is trained on seen categories, there is a strong bias that the model tends to classify all the objects into seen categories. Besides, there is a natural confusion between background …