GA-DAN: Geometry-Aware Domain Adaptation Network for Scene Text Detection and Recognition

ICCV 2019 Fangneng ZhanChuhui XueShijian Lu

Recent adversarial learning research has achieved very impressive progress for modelling cross-domain data shifts in appearance space but its counterpart in modelling cross-domain shifts in geometry space lags far behind. This paper presents an innovative Geometry-Aware Domain Adaptation Network (GA-DAN) that is capable of modelling cross-domain shifts concurrently in both geometry space and appearance space and realistically converting images across domains with very different characteristics... (read more)

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