MOP.P13: Tackling Label Scarcity and Noise in Machine Learning
Mon, 17 Jul, 14:15 - 15:45 Pacific Time (UTC -7)
Location: Poster Area 13
Session Type: Poster
Track: AI and Big Data

MOP.P13.1: 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, Dorota Iwaszczuk, Technical University Darmstadt, Germany; Timo Kullmann, Technical University of Darmstadt, Germany

MOP.P13.5: CONTINUAL SELF SUPERVISED LEARNING IN EARTH OBSERVATION WITH EMBEDDING REGULARIZATION

Hamna Moieez, Valerio Marsocci, Simone Scardapane, Sapienza University of Rome, Italy

MOP.P13.6: SELF-ATTENTION MECHANISM FOR TARGET HIDING BASED ON SATELLITE IMAGES

Hao Yuan, Yuheng Li, Zhouzhou Zhang, Pengyu Zhang, Minkang Cai, Beijing Research Institute of Telemetry, China; Yongjian Shen, Beijing University of Aeronautics and Astronautics, China; Xiangjun He, Beijing Institute of Spacecraft System Engineering, China

MOP.P13.7: A METHOD BASED ON MULTI-SCALE CONSISTENCY REGULARIZATION AND COLOR-SPATIAL CONSTRAINTS FOR ROAD SEGMENTATION WITH NOISY LABELS

Yi Shen, Nan Su, Chunhui Zhao, Yiming Yan, Harbin Engineering University, China; Wei Hou, Harbin Space Star Data System Technology Co., Ltd., China; Bowen Huang, Jushri Technologies, Inc., China

MOP.P13.9: Investigating Model Robustness Against Sensor Variation

Matthieu Terris, Sagar Verma, Granular AI, United States

MOP.P13.10: SPECTRAL MASKED AUTOENCODER FOR FEW-SHOT HYPERSPECTRAL IMAGE CLASSIFICATION

Pengming Feng, Guangjun He, Shichao Jin, Space Star Technology CO., Ltd., China; Kaihan Wang, Jian Guan, Harbin Engineering University, China

MOP.P13.11: TOWARD OPEN-WORLD SEMANTIC SEGMENTATION OF REMOTE SENSING IMAGES

Yuxing Chen, Lorenzo Bruzzone, University of Trento, Italy

MOP.P13.12: 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