MP1.PD.3
MODEL DOCTOR FOR DIAGNOSING AND TREATING SEGMENTATION ERROR
Zhijie Jia, Lin Chen, Kaiwen Hu, Zhejiang University, China; Lechao Cheng, Zhejiang Lab, China; Zunlei Feng, Mingli Song, Zhejiang University, China
Session:
MP1.PD: Image Segmentation Poster
Track:
Applications of Machine Learning
Location:
Poster Area D
Presentation Time:
Mon, 9 Oct, 14:30 - 16:00 Malaysia Time (UTC +8)
Session Chair:
Chang Hong Lin, National Taiwan University of Science and Technology
Session MP1.PD
MP1.PD.1: SEMANTIC AND INSTANCE-AWARE PIXEL-ADAPTIVE CONVOLUTION FOR PANOPTIC SEGMENTATION
Sumin Song, Min-Cheol Sagong, Seung-Won Jung, Sung-Jea Ko, Korea University, Korea, Republic of
MP1.PD.2: DIFFERENTIAL ENHANCED SIAMESE SEGMENTATION NETWORK FOR PRINTED LABEL DEFECT DETECTION
Dongming Li, Yingjian Li, Jinxing Li, Guangming Lu, Harbin Institute of Technology, China
MP1.PD.3: MODEL DOCTOR FOR DIAGNOSING AND TREATING SEGMENTATION ERROR
Zhijie Jia, Lin Chen, Kaiwen Hu, Zhejiang University, China; Lechao Cheng, Zhejiang Lab, China; Zunlei Feng, Mingli Song, Zhejiang University, China
MP1.PD.4: Fibonet: A Light-weight and Efficient Neural Network for Image Segmentation
Ruohao Wu, Tsinghua University, China; Xiao Xi, Shenzhen International Graduate School, Tsinghua University, China; Guangwu Hu, Shenzhen Institute of Information Technology, China; Hanqing Zhao, Han Zhang, Yongqing Peng, Beijing Research Institute of Telemetry, China
MP1.PD.5: A FEATURE REFINEMENT MODULE FOR LIGHT-WEIGHT SEMANTIC SEGMENTATION NETWORK
Zhiyan Wang, Xin Guo, Song Wang, Peixiao Zheng, Lin Qi, Zhengzhou University, China
MP1.PD.6: DEEP VARIATIONAL SEGMENTATION OF TOPOLOGY-CONSTRAINED OBJECT SETS, WITH CORRELATED UNCERTAINTY MODELS, FOR ROBUSTNESS TO DEGRADATIONS
Akshay Gaikwad, Harshit Varma, Suyash Awate, Indian Institute of Technology (IIT) Bombay, India
MP1.PD.7: SEMANTIC-EMBEDDED KNOWLEDGE ACQUISITION AND REASONING FOR IMAGE SEGMENTATION
Wei Liu, Huigang Zhang, Xiaojie Xia, Liuan Wang, Jun Sun, Fujitsu R&D Center, Co., LTD, China
MP1.PD.8: OVERLAP LOSS: RETHINKING WEAKLY SUPERVISED INSTANCE SEGMENTATION IN CROWDED SCENES
Shanghang Jiang, Northwestern Polytechnical University, China; Shichao Zhao, Aibee Inc., China; Meng Wu, Le Zhang, Northwestern Polytechnical University, China; Feng Zhou, Aibee Inc., China
MP1.PD.9: PROGRESSIVE REFINEMENT LEARNING BASED ON FEATURE INTERACTIVE FUSION FOR SEMANTIC SEGMENTATION OF REMOTE SENSING LIMITED DATASET
Xinran Lyu, Libao Zhang, Beijing Normal University, China
MP1.PD.10: MUTUALLY SUPERVISED LEARNING VIA INTERACTIVE CONSISTENCY FOR GEOGRAPHIC OBJECT SEGMENTATION FROM WEAKLY LABELED REMOTE SENSING IMAGERY
Yanan Liu, Libao Zhang, Beijing Normal University, China
MP1.PD.11: SPATIAL-FREQUENCY NETWORK FOR THE SEGMENTATION OF REMOTE SENSING IMAGES
Tony Zhang, Robert Dick, University of Michigan, United States of America
MP1.PD.12: DOMAIN ADAPTATION IN POWER LINE SEGMENTATION: A NEW SYNTHETIC DATASET
Georgios Kalitsios, Vasileios Mygdalis, Ioannis Pitas, Aristotle University of Thessaloniki, Greece
Contacts