MO2.R2.2

ENHANCING TRAINING SET THROUGH MULTI-TEMPORAL ATTENTION ANALYSIS IN TRANSFORMERS FOR MULTI-YEAR LAND COVER MAPPING

Rocco Sedona, Jan Ebert, Forschungszentrum Jülich, Germany; Claudia Paris, University of Twente, Netherlands; Morris Riedel, University of Iceland, Iceland; Gabriele Cavallaro, Forschungszentrum Jülich, Germany
Session:
MO2.R2: Supervised, Semi-Supervised, and Unsupervised Learning and Scene Classification Oral
Track:
Data Analysis
Location:
Room C
Presentation Time:
Mon, 17 Jul, 15:57 - 16:09 Pacific Time (UTC -8)
Session Co-Chairs:
Claudia Paris, University of Twente and Begüm Demir, Technische Universität Berlin
Session Manager:
Shankho Subhra Pal
Presentation
Not logged in.
Discussion
Not logged in.
Resources
No resources available.
Session MO2.R2
MO2.R2.1: GAGAT: GLOBAL AWARE GRAPH ATTENTION NETWORK FOR 3D CLASSIFICATION AND SEGMENTATION
Sumesh Thakur, Prachi Kudeshia, Saint Mary's university, Canada; Somaye Arabinaree, Concordia University, Canada; Dong Chen, Nanjing Forestry University, China; Jiju Peethambaran, Saint Mary's University, Canada
MO2.R2.2: ENHANCING TRAINING SET THROUGH MULTI-TEMPORAL ATTENTION ANALYSIS IN TRANSFORMERS FOR MULTI-YEAR LAND COVER MAPPING
Rocco Sedona, Jan Ebert, Forschungszentrum Jülich, Germany; Claudia Paris, University of Twente, Netherlands; Morris Riedel, University of Iceland, Iceland; Gabriele Cavallaro, Forschungszentrum Jülich, Germany
MO2.R2.3: CLUSTERING FRACTURE DATA IN 3D OUTCROP MODELS WITH HIERARCHICAL AGGLOMERATIVE CLUSTERING AND FISHER STATISTICS
Graciela Racolte, Ademir Marques Jr, Vinicius Sales, Daniel Zanotta, Unisinos University, Brazil; Delano Ibanez, PETROBRAS, Brazil; Mauricio Veronez, Luiz Gonzaga Jr, Unisinos University, Brazil
MO2.R2.4: A MULTI-SCALE DEEP FEATURE LEARNING AND SEMANTIC ENHANCEMENT APPROACH FOR REMOTE SENSING SCENE CLASSIFICATION
Hengyi Huang, Wenzhen Wang, Nanjing University of Science and Technology, China; Wenzhi Liao, Flanders Make and Ghent University, Belgium; Liang Xiao, Nanjing University of Science and Technology, China
MO2.R2.5: C-NOISYSTUDENT: CURRICULUM LEARNING WITH NOISY STUDENT IMPROVES REMOTE SENSING SCENE CLASSIFICATION
Xinglin Gao, Hao Wang, Sheng Chang, Yi Xiao, Shuxing Huang, Beijing Normal University, China; Haihua Xing, Hainan Normal University, China; Xianchuan Yu, Beijing Normal University, China
MO2.R2.6: FROM COARSE TO FINE: KNOWLEDGE DISTILLATION FOR REMOTE SENSING SCENE CLASSIFICATION
JINSHENG JI, Nanyang Technological University, China; XIAOMING XI, Shandong Jianzhu University, China; XIANKAI LU, Shandong University, China; YIYOU GUO, HUAN XIE, Tongji University, China
Resources
No resources available.