630 citations · 1.1k across the 3 of their papers we have counts for
3 papers
cs.CV2017★ 630 cited
CyCADA: Cycle-Consistent Adversarial Domain Adaptation
Judy Hoffman, Eric Tzeng, Taesung Park +5
Domain adaptation is critical for success in new, unseen environments. Adversarial adaptation models applied in feature spaces discover domain invariant representations, but are di…
cs.CV2017★ 13 cited
Visual Discovery at Pinterest
Andrew Zhai, Dmitry Kislyuk, Yushi Jing +5
Over the past three years Pinterest has experimented with several visual search and recommendation services, including Related Pins (2014), Similar Looks (2015), Flashlight (2016)…
cs.CV2017★ 451 cited
Adversarial Discriminative Domain Adaptation
Eric Tzeng, Judy Hoffman, Kate Saenko +1
Adversarial learning methods are a promising approach to training robust deep networks, and can generate complex samples across diverse domains. They also can improve recognition d…