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
Login Paper Search My Schedule Paper Index Help

My ICASSP 2021 Schedule

Note: Your custom schedule will not be saved unless you create a new account or login to an existing account.
  1. Create a login based on your email (takes less than one minute)
  2. Perform 'Paper Search'
  3. Select papers that you desire to save in your personalized schedule
  4. Click on 'My Schedule' to see the current list of selected papers
  5. Click on 'Printable Version' to create a separate window suitable for printing (the header and menu will appear, but will not actually print)
Click on the icon to view the manuscript on IEEE XPlore in the IEEE ICASSP 2021 Open Preview.

Clicking on the Add button next to a paper title will add that paper to your custom schedule.
Clicking on the Remove button next to a paper will remove that paper from your custom schedule.

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