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May, 2022
可解释的有监督域适应
Explainable Supervised Domain Adaptation
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Vidhya Kamakshi, Narayanan C Krishnan
TL;DR
本文提出了一种可解释的基于案例推理机制的有监督领域适应框架 - XSDA-Net，通过解释源域与目标域中相似的区域，来优化领域适应的过程和结果。
Abstract
domain adaptation
techniques have contributed to the success of
deep learning
. Leveraging knowledge from an auxiliary source domain for learning in labeled data-scarce target domain is fundamental to
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