Transfer deep feature learning for face sketch recognition
Sign Up to like & getrecommendations! Published in 2019 at "Neural Computing and Applications"
DOI: 10.1007/s00521-019-04242-5
Abstract: Sketch-to-photo recognition is an important challenge in face recognition because it requires matching face images in different domains. Even the deep learning, which has recently been deployed in face recognition, is not efficient for face… read more here.
Keywords: face sketch; recognition; transfer deep; sketch recognition ... See more keywords
Transfer deep convolutional activation-based features for domain adaptation in sensor networks
Sign Up to like & getrecommendations! Published in 2018 at "EURASIP Journal on Wireless Communications and Networking"
DOI: 10.1186/s13638-018-1059-8
Abstract: In this paper, we propose a novel method named transfer deep convolutional activation-based features (TDCAF) for domain adaptation in sensor networks. Specifically, we first train a siamese network with weight sharing to map the images… read more here.
Keywords: convolutional activation; deep convolutional; transfer deep; based features ... See more keywords