MA.PD.7
SMOOTH AND STEPWISE SELF-DISTILLATION FOR OBJECT DETECTION
Jieren Deng, University of Connecticut, United States of America; Xin Zhou, Hao Tian, Zhihong Pan, Baidu, United States of America; Derek Aguiar, University of Connecticut, United States of America
Session:
MA.PD: Object Detection I Poster
Track:
Applications of Machine Learning
Location:
Poster Area D
Presentation Time:
Mon, 9 Oct, 11:00 - 12:30 Malaysia Time (UTC +8)
Session Chair:
Adam Novozámský, UTIA - Czech Academy of Sciences
Session MA.PD
MA.PD.1: CONTEXT-AWARE DATA AUGMENTATION FOR LIDAR 3D OBJECT DETECTION
Xuzhong Hu, Zaipeng Duan, School of Huazhong University of Science and Technology, China; Xiao Huang, Ziwen Xu, China Ship Development and Design Center, China; Delie Ming, Jie Ma, School of Huazhong University of Science and Technology, China
MA.PD.2: TR3D: TOWARDS REAL-TIME INDOOR 3D OBJECT DETECTION
Danila Rukhovich, Anna Vorontsova, Anton Konushin, Samsung Research, Russian Federation
MA.PD.3: A Key Feature-Enhanced Network for Remote Sensing Object Detection
Yundong Liu, Zhongyuan University of Technology, China; Yan Dong, University of Electronic Science and Technology of China, China; Haonan Kang, National University of Singapore, Singapore; Guangshuai Gao, Chunlei Li, Zhoufeng Liu, Zhongyuan University of Technology, China
MA.PD.4: SEM-FCNET: SEMANTIC FEATURE ENHANCEMENT AND FULLY CONVOLUTIONAL NETWORK MODEL FOR REMOTE SENSING OBJECT DETECTION
Jing Chen, Guangxi Normal University, China; Debo Cheng, University of South Australia, Australia; Jiacheng Jiang, Zhongyi Yu, Shichao Zhang, Guangxi Normal University, China
MA.PD.5: QUANTIFIABLE ROBUSTNESS ESTIMATION FOR OBJECT DETECTION WITH CNNS USING INTRINSIC DIMENSIONALITY
Axel Vierling, Ajay Chawda, Mahesh Kashyap Belakavadi Manjunath, Karsten Berns, University of Kaiserslautern-Landau, Germany
MA.PD.6: Coco-Teach: A CONTRASTIVE CO-TEACHING NETWORK FOR INCREMENTAL 3D OBJECT DETECTION
Zhongyao Cheng, Cen Chen, Ziyuan Zhao, Peisheng Qian, Xiaoli Li, Xulei Yang, Institute for Infocomm Research (I2R), Agency for Science Technology and Research (A*STAR), Singapore
MA.PD.7: SMOOTH AND STEPWISE SELF-DISTILLATION FOR OBJECT DETECTION
Jieren Deng, University of Connecticut, United States of America; Xin Zhou, Hao Tian, Zhihong Pan, Baidu, United States of America; Derek Aguiar, University of Connecticut, United States of America
MA.PD.8: ESTIMATED DEPTH BASED PROGRESSIVE INTERACTIVE FRAMEWORK FOR RGB SALIENT OBJECT DETECTION IN IMAGES
Sudipta Bhuyan, Ashish Verma, Debashis Sen, Sankha Deb, Indian Institute of Technology Kharagpur, India
MA.PD.9: WEAKLY SEMI-SUPERVISED ORIENTED OBJECT DETECTION WITH POINTS
Ziming Zhang, Yucheng Wang, Chu He, Qingyi Zhang, Xi Chen, Wuhan University, China
MA.PD.10: CORRELATION AND FOREGROUND ATTENTION TO IMPROVE OBJECT DETECTION
Yudi Dong, Xiaodong Yue, Zhikang Xu, Shaorong Xie, Shanghai University, China
MA.PD.11: MULTI-DIMENSIONAL PRUNED SPARSE CONVOLUTION FOR EFFICIENT 3D OBJECT DETECTION
Linye Li, Xiaodong Yue, Zhikang Xu, Shaorong Xie, Shanghai University, China
MA.PD.12: MSV-RGNN: MULTISCALE VOXEL GRAPH NEURAL NETWORK FOR 3D OBJECT DETECTION
Wonjoon Lee, Sungmin Woo, Donghyeong Kim, Sangyoun Lee, Yonsei University, Korea, Republic of
Contacts