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Ȩ Ȩ > ¿¬±¸¹®Çå > Çмú´ëȸ ÇÁ·Î½Ãµù > Çѱ¹Á¤º¸°úÇÐȸ Çмú´ëȸ > 2018³â ÄÄÇ»ÅÍÁ¾ÇÕÇмú´ëȸ

2018³â ÄÄÇ»ÅÍÁ¾ÇÕÇмú´ëȸ

Current Result Document :

ÇѱÛÁ¦¸ñ(Korean Title) µö·¯´× ±â¹ÝÀÇ ¾ó±¼Ç¥Á¤ ÀνÄ
¿µ¹®Á¦¸ñ(English Title) Facial Expression Recognition Based on Deep Learning
ÀúÀÚ(Author) ¿øÇؾ砠 ³ªÀμ·   ¾çÇüÁ¤   ÀÌ±Í»ó   ¿À¾Æ¶õ   ±è¼öÇü   Hai-Duong Nguyen   In-Seop Na   Hyung-Jeong Yang   Guee-Sang Lee   Aran Oh   Soo-Hyung Kim  
¿ø¹®¼ö·Ïó(Citation) VOL 45 NO. 01 PP. 0873 ~ 0875 (2018. 06)
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(Korean Abstract)
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(English Abstract)
Many breakthroughs have been made in facial expression recognition, this research area is still challenging due to some aspects such as micro-emotion or sampling environment. In this paper, we propose a convolutional neural network for facial expression recognition in the wild. Our model was evaluated on the FER2013 dataset and achieved a comparable performance to other methods.
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