2021 IEEE International Conference on Acoustics, Speech and Signal Processing

6-11 June 2021 • Toronto, Ontario, Canada

Extracting Knowledge from Information

2021 IEEE International Conference on Acoustics, Speech and Signal Processing

6-11 June 2021 • Toronto, Ontario, Canada

Extracting Knowledge from Information

Technical Program

IVMSP-29: Semantic Segmentation

Session Type: Poster
Time: Friday, 11 June, 13:00 - 13:45
Location: Gather.Town
Session Chair: Eduardo A B da Silva, Federal University of Rio de Janeiro
 
IVMSP-29.1: EADNET: EFFICIENT ASYMMETRIC DILATED NETWORK FOR SEMANTIC SEGMENTATION
         Qihang Yang; Fudan University
         Tao Chen; Fudan University
         Jiayuan Fan; Fudan University
         Ye Lu; Fudan University
         Chongyan Zuo; Shanghai Huawei Technologies Co., Ltd.
         Qinghua Chi; Shanghai Huawei Technologies Co., Ltd.
 
IVMSP-29.2: LTAF-NET: LEARNING TASK-AWARE ADAPTIVE FEATURES AND REFINING MASK FOR FEW-SHOT SEMANTIC SEGMENTATION
         Binjie Mao; Institute of Automation, Chinese Academy of Sciences
         Lingfeng Wang; Institute of Automation, Chinese Academy of Sciences
         Shiming Xiang; Institute of Automation, Chinese Academy of Sciences
         Chunhong Pan; Institute of Automation, Chinese Academy of Sciences
 
IVMSP-29.3: CGAN-NET: CLASS-GUIDED ASYMMETRIC NON-LOCAL NETWORK FOR REAL-TIME SEMANTIC SEGMENTATION
         Hanlin Chen; National University of Defense Technology
         Qingyong Hu; University of Oxford
         Jungang Yang; National University of Defense Technology
         Jing Wu; National University of Defense Technology
         Yulan Guo; National University of Defense Technology, Sun Yat-sen University
 
IVMSP-29.4: AGGREGATION ARCHITECTURE AND ALL-TO-ONE NETWORK FOR REAL-TIME SEMANTIC SEGMENTATION
         Kuntao Cao; University of Electronic Science and Technology of China
         Xi Huang; University of Electronic Science and Technology of China
         Jie Shao; University of Electronic Science and Technology of China
 
IVMSP-29.5: NLKD: USING COARSE ANNOTATIONS FOR SEMANTIC SEGMENTATION BASED ON KNOWLEDGE DISTILLATION
         Dong Liang; College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics
         Yun Du; College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics
         Han Sun; Nanjing University of Aeronautics and Astronautics
         Liyan Zhang; Nanjing University of Aeronautics and Astronautics
         Ningzhong Liu; Nanjing University of Aeronautics and Astronautics
         Mingqiang Wei; Nanjing University of Aeronautics and Astronautics
 
IVMSP-29.6: KNOWLEDGE REASONING FOR SEMANTIC SEGMENTATION
         Shengjia Chen; Guangxi Normal University
         Zhixin Li; Guangxi Normal University
         Xiwei Yang; Guangxi Normal University