A new multi-source model adaptation problem which uses a novel learning strategy named model-invariant feature learning and propose a novel method 📄 https://t.co/0efWpblsov https://t.co/FyGKekGoeS
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Union-set Multi-source Model Adaptation for Semantic Segmentation abs : https://t.co/DV8LamxT8j github : https://t.co/kQs45G5keL
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Union-set Multi-source Model Adaptation for Semantic Segmentation https://t.co/SpubZKJtEd Comment: Accepted by ECCV2022 この論文では、セマンティック セグメンテーションのためのマルチソース モデル適応の問題の一般化されたバージョンを解決します。モデル適応は、ソース ドメ
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Union-set Multi-source Model Adaptation for Semantic Segmentation. Zongyao Li, Ren Togo, Takahiro Ogawa, and Miki haseyama https://t.co/zXDvW9fCAB