IVMSP-34.3
CS-GRESNET: A SIMPLE AND HIGHLY EFFICIENT NETWORK FOR FACIAL EXPRESSION RECOGNITION
Shaoping Jiang, Xiangmin Xu, Xiaofen Xing, Lin Wang, South China University of Technology, China; Fang Liu, Guangdong University of Finance, China
Session:
Deep Neural Networks for Image and Video Processing
Track:
Image, Video, and Multidimensional Signal Processing
Location:
Gather Area J
Presentation Time:
Thu, 12 May, 20:00 - 20:45 China Time (UTC +8)
Thu, 12 May, 12:00 - 12:45 UTC
Thu, 12 May, 12:00 - 12:45 UTC
Session Chair:
Ville Hautamaki, National University of Singapore
Session IVMSP-34
IVMSP-34.1: MBNET: A MULTI-RESOLUTION BRANCH NETWORK FOR SEMANTIC SEGMENTATION OF ULTRA-HIGH RESOLUTION IMAGES
Lianlei Shan, University of Chinese Academy of Sciences, China; Weiqiang Wang, University of Chinese Academy of Science, China
IVMSP-34.2: BSOLO: BOUNDARY-AWARE ONE-STAGE INSTANCE SEGMENTATION SOLO
Yuxuan Zhang, Wei Yang, University of Science and Technology of China, China
IVMSP-34.3: CS-GRESNET: A SIMPLE AND HIGHLY EFFICIENT NETWORK FOR FACIAL EXPRESSION RECOGNITION
Shaoping Jiang, Xiangmin Xu, Xiaofen Xing, Lin Wang, South China University of Technology, China; Fang Liu, Guangdong University of Finance, China
IVMSP-34.4: RCANET: ROW-COLUMN ATTENTION NETWORK FOR SEMANTIC SEGMENTATION
Bingxu Lu, Qinghua Hu, Yu Wang, Tianjin University, China; Guosheng Hu, AnyVision, China
IVMSP-34.5: EXPLORING CATEGORY CONSISTENCY FOR WEAKLY SUPERVISED SEMANTIC SEGMENTATION
Zhaozhi Xie, Lu Hongtao, Shanghai Jiao Tong University, China
IVMSP-34.6: VISION TRANSFORMER EQUIPPED WITH NEURAL RESIZER ON FACIAL EXPRESSION RECOGNITION TASK
Hyeonbin Hwang, Soyeon Kim, Hyeon Yeo, KAIST, Korea, Republic of; Wei-Jin Park, Jiho Seo, Kyungtae Ko, ACRYL, Korea, Republic of