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Synthetic-to-Real Translation

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보존된 평가 기록: 119

Synthetic-to-real translation is the task of domain adaptation from synthetic (or virtual) data to real data.

<span style="color:grey; opacity: 0.6">( Image credit: CYCADA )</span>

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

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Virtual to Real Reinforcement Learning for Autonomous Driving

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Learning to Adapt Structured Output Space for Semantic Segmentation

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