Self-Attention Generative Adversarial Networks.

Big self-supervised models are strong semi-supervised learners.

Learning from synthetic data: Addressing domain shift for semantic segmentation.

Domain Separation Networks.

Generative Adversarial Training for Weakly Supervised Cloud Matting

Label-Driven Reconstruction for Domain Adaptation in Semantic Segmentation.

Dual Adversarial Network for Deep Active Learning.

Semantic foggy scene understanding with synthetic data

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