TU3.M3: Deep Learning Techniques for Image Classification II
Tuesday, 5 August, 13:15 - 14:30
Location: Room M3
Session Type: Oral
Track: AI and Big Data
Tue, 5 Aug, 13:15 - 13:30

TU3.M3.1: A Height-Spatial Multi-Scale Feature Fusion Network for Remote Sensing Scene Classification
Jiadong Lin, Lingling Li, Xidian University, China; Huaji Zhou, the National Key Laboratory of Electromagnetic Space Security, China; Licheng Jiao, Fang Liu, Xu Liu, Xidian University, China
Tue, 5 Aug, 13:30 - 13:45

TU3.M3.2: LEVERAGING COVARIANCE REPRESENTATIONS WITH RIEMANNIAN RESNET FOR SATELLITE IMAGE TIME SERIES CLASSIFICATION
Khizer Zakir, Charlotte Pelletier, Université Bretagne Sud, France; Laetitia Chapel, L'Institut Agro Rennes-Angers, France; Nicolas Courty, Université Bretagne Sud, France
Tue, 5 Aug, 13:45 - 14:00

TU3.M3.3: EEMAMBA: A HARDWARE-AWARE ENERGY-EFFICIENT STATE-SPACE MODEL FOR EUROSAT CLASSIFICATION
Maneet Chatterjee, Indian Institute of Engineering Science and Technology Shibpur, India; Anuvab Sen, Georgia Institute of Technology, United States; Subhabrata Roy, Indian Institute of Engineering Science and Technology Shibpur, India
Tue, 5 Aug, 14:00 - 14:15

TU3.M3.4: Background-aware Prompt Learning for Remote Sensing Scene Classification
Wenxu Shi, Qingyan Meng, Linlin Zhang, Aerospace Information Research Institute, China; Tingyuan Zhou, Peter Atkinson, Lancaster University, United Kingdom
Tue, 5 Aug, 14:15 - 14:30

TU3.M3.5: ADDRESSING SEABED CHARACTERIZATION AS FUZZY DEEP LEARNING SEGMENTATION TO MITIGATE AMBIGUOUS SYNTHETIC APERTURE SONAR DATA
Yoann ARHANT, Olga Lopera Tellez, Xavier Neyt, Royal Military Academy, Belgium; Aleksandra Pizurica, Gent University, Belgium