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

Click on the icon to view the manuscript on IEEE XPlore in the IEEE ICASSP 2021 Open Preview.

IVMSP-8: Machine Learning for Image Processing II

Session Type: Poster
Time: Wednesday, 9 June, 13:00 - 13:45
Location: Gather.Town
Virtual Session: View on Virtual Platform
Session Chair: Simone Milani, University of Padova
 
 IVMSP-8.1: IMPROVING MEMORY BANKS FOR UNSUPERVISED LEARNING WITH LARGE MINI-BATCH, CONSISTENCY AND HARD NEGATIVE MINING
         Adrian Bulat; Samsung AI Cambridge
         Enrique Sanchez-Lozano; Samsung AI Cambridge
         Georgios Tzimiropoulos; Samsung AI Cambridge
 
 IVMSP-8.2: ROBUST BINARY LOSS FOR MULTI-CATEGORY CLASSIFICATION WITH LABEL NOISE
         Defu Liu; University of Electronic Science and Technology of China
         Guowu Yang; University of Electronic Science and Technology of China
         Jinzhao Wu; Guangxi University
         Jiayi Zhao; Southwestern University of Finance and Economics
         Fengmao Lv; Southwestern University of Finance and Economics
 
 IVMSP-8.3: A PLUG AND PLAY FAST INTERSECTION OVER UNION LOSS FOR BOUNDARY BOX REGRESSION
         Zengsheng Kuang; Nankai University
         Xian Fang; Nankai University
         Ruixun Zhang; Massachusetts Institute of Technology
         Xiuli Shao; Nankai University
         Hongpeng Wang; Nankai University
 
 IVMSP-8.4: ATTRIBUTE DECOMPOSITION FOR FLOW-BASED DOMAIN MAPPING
         Sheng-Jhe Huang; National Chiao Tung University
         Jen-Tzung Chien; National Chiao Tung University
 
 IVMSP-8.5: ADA-SISE: ADAPTIVE SEMANTIC INPUT SAMPLING FOR EFFICIENT EXPLANATION OF CONVOLUTIONAL NEURAL NETWORKS
         Mahesh Sudhakar; University of Toronto
         Sam Sattarzadeh; University of Toronto
         Konstantinos N. Plataniotis; University of Toronto
         Jongseong Jang; LG AI Research
         Yeonjeong Jeong; LG AI Research
         Hyunwoo Kim; LG AI Research
 
 IVMSP-8.6: NETWORK PRUNING USING LINEAR DEPENDENCY ANALYSIS ON FEATURE MAPS
         Hao Pan; Ping An Technology (Shenzhen) Co., Ltd.
         Zhongdi Chao; Ping An Technology (Shenzhen) Co., Ltd.
         Jiang Qian; Ping An Technology (Shenzhen) Co., Ltd.
         Bojin Zhuang; Ping An Technology (Shenzhen) Co., Ltd.
         Shaojun Wang; Ping An Technology (Shenzhen) Co., Ltd.
         Jing Xiao; Ping An Insurance (Group) Company of China