2021
Self-Generated Defocus Blur Detection via Dual Adversarial Discriminators
CVPR 2021poster
Although existing fully-supervised defocus blur detection (DBD) models significantly improve performance, training such deep models requires abundant pixel-level manual annotation, which is highly time-consuming and error-prone. Addressing this issue, this paper makes an effort to train a deep DBD m…