Leveraging GAN Priors for Few-Shot Part Segmentation
Leveraging GAN Priors for Few-Shot Part Segmentation
Few-shot part segmentation aims to separate different parts of an object given only a few annotated samples. Due to the challenge of limited data, existing works mainly focus on learning classifiers over pre-trained features, failing to learn task-specific features for part segmentation. In this paper, we propose to learn task-specific …