Improving Model Adaptation for Semantic Segmentation by Learning Model-Invariant Features with Multiple Source-Domain Models

Zongyao Li, Ren Togo, Takahiro Ogawa 0001, Miki Haseyama. Improving Model Adaptation for Semantic Segmentation by Learning Model-Invariant Features with Multiple Source-Domain Models. In 2022 IEEE International Conference on Image Processing, ICIP 2022, Bordeaux, France, 16-19 October 2022. pages 421-425, IEEE, 2022. [doi]

Authors

Zongyao Li

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Ren Togo

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Takahiro Ogawa 0001

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Miki Haseyama

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