CVPR 2023 - FREDOM: Fairness Domain Adaptation Approach to Semantic Scene Understanding

In this episode we discuss FREDOM: Fairness Domain Adaptation Approach to Semantic Scene Understanding by Thanh-Dat Truong, Ngan Le, Bhiksha Raj, Jackson Cothren, Khoa Luu. The paper proposes a new approach called Fairness Domain Adaptation (FREDOM) for semantic scene segmentation that addresses fairness concerns in domain adaptation. The proposed adaptation framework is based on the fair treatment of class distributions, and a new conditional structural constraint is introduced to ensure consistency of predicted segmentation. The proposed method, which includes a Conditional Structure Network with a self-attention mechanism, outperformed existing methods in two standard benchmarks and promoted fairness in model predictions.