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Learning facial attributes by crowdsourcing in social media
2011
Proceedings of the 20th international conference companion on World wide web - WWW '11
Facial attributes such as gender, race, age, hair style, etc., carry rich information for locating designated persons and profiling the communities from image/video collections (e.g., surveillance videos or photo albums). For plentiful facial attributes in photos and videos, collecting costly manual annotations for training detectors is time-consuming. We propose an automatic facial attribute detection method by exploiting the great amount of weakly labelled photos in social media. Our work can
doi:10.1145/1963192.1963206
dblp:conf/www/ChenHL11
fatcat:7hzmm6byqfea5mwfvnrdt3vo6e