MOP.P10: Tackling Label Scarcity and Noise in Machine Learning
Mon, 17 Jul, 14:15 - 15:45 Pacific Time (UTC -8)
Location: Poster Area 10
Session Type: Poster
Session Chair: Rashmi Shah, JPL/Caltech
Session Managers: Al Adil Al Hinai and Ivan Arias and Shubham Awasthi and Ayoti Banerjee
Track: AI and Big Data

MOP.P10.1: INFLUENCE OF OUT-OF-DISTRIBUTION EXAMPLES ON THE QUALITY OF SEMANTIC SEGMENTATION IN REMOTE SENSING
Kevin Qiu, Dimitri Bulatov, Fraunhofer Institute of Optronics, Germany; Lina E. Budde, Technical University Darmstadt, Germany; Timo Kullmann, Technical University of Darmstadt, Germany; Dorota Iwaszczuk, Technical University Darmstadt, Germany

MOP.P10.2: CLASS-INCREMENTAL LEARNING FOR REMOTE SENSING IMAGES BASED ON KNOWLEDGE DISTILLATION
Jingduo Song, Hecheng Jia, Feng Xu, Fudan University, China

MOP.P10.3: CONTINUAL SELF SUPERVISED LEARNING IN EARTH OBSERVATION WITH EMBEDDING REGULARIZATION
Hamna Moieez, Valerio Marsocci, Simone Scardapane, Sapienza University of Rome, Italy

MOP.P10.4: A METHOD BASED ON MULTI-SCALE CONSISTENCY REGULARIZATION AND COLOR-SPATIAL CONSTRAINTS FOR ROAD SEGMENTATION WITH NOISY LABELS
Yi Shen, Nan Su, Chunhui Zhao, Harbin Engineering University, China; Wei Hou, Harbin Space Star Data System Technology Co., Ltd., China; Bowen Huang, Jushri Technologies, Inc., China; Yiming Yan, Harbin Engineering University, China

MOP.P10.5: Investigating Model Robustness Against Sensor Variation
Matthieu Terris, Sagar Verma, Granular AI, United States

MOP.P10.6: SPECTRAL MASKED AUTOENCODER FOR FEW-SHOT HYPERSPECTRAL IMAGE CLASSIFICATION
Pengming Feng, Space Star Technology CO., Ltd., China; Kaihan Wang, Jian Guan, Harbin Engineering University, China; Guangjun He, Shichao Jin, Space Star Technology CO., Ltd., China

MOP.P10.7: TOWARD OPEN-WORLD SEMANTIC SEGMENTATION OF REMOTE SENSING IMAGES
Yuxing Chen, Lorenzo Bruzzone, University of Trento, Italy

MOP.P10.8: Color-Aware Self-Supervised Learning for Scene Classification and Segmentation of Remote Sensing Images
Guozheng Xu, Xue Jiang, Xingzhao Liu, Shanghai Jiao Tong University, China