GA-DAN models cross-domain shifts in geometry and appearance spaces with multi-modal spatial learning and disentangled cycle-consistency loss, yielding superior scene text detection and recognition performance on adapted images.
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GA-DAN: Geometry-Aware Domain Adaptation Network for Scene Text Detection and Recognition
GA-DAN models cross-domain shifts in geometry and appearance spaces with multi-modal spatial learning and disentangled cycle-consistency loss, yielding superior scene text detection and recognition performance on adapted images.