Reducing Cross-Sensor Domain Gaps in Tactile Sensing via Few-Sample-Driven Style-to-Content Unsupervised Domain Adaptation

Transferring knowledge learned from standard GelSight sensors to other visuotactile sensors is appealing for reducing data collection and annotation. However, such cross-sensor transfer is challenging due to the differences between sensors in internal light sources, imaging effects, and elastomer pr...

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Κύριοι συγγραφείς:	Xingshuo Jing, Kun Qian
Μορφή:	Artigo
Γλώσσα:	Inglês
Έκδοση:	MDPI AG 2025-01-01
Σειρά:	Sensors
Θέματα:	cross-sensor domain gaps tactile sensing unsupervised domain adaptation style to content
Διαθέσιμο Online:	https://www.mdpi.com/1424-8220/25/1/256
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