MO3.R10.3
A High-Quality Southeast Asian Peatland Drainage Dataset via Joint Segmentation-Orientation Learning and Manual Fine-Tuning
Qin Zhao, Chenguang Hou, Aik Song Chia, Leong Keong Kwoh, Kim Hwa Lim, National University of Singapore, Singapore
Session:
MO3.R10: Multimodal Datasets, Evaluation Protocols, and Performance Metrics for Benchmarking Remote Sensing Algorithms (1/2) Oral
Track:
Community Contributed Themes
Location:
TBD
Presentation Time:
Mon, 10 Aug, 14:15 - 14:30
Session Chair:
Haonan Guo,
Presentation
Discussion
Resources
No resources available.
Session MO3.R10
MO3.R10.1: ON BENCHMARKS FOR SATELLITE IMAGE MACHINE LEARNING
Ronny Hänsch, German Aerospace Center, Germany; Charlotte Pelletier, Corentin Dufourg, Université Bretagne Sud, France; Antoine Bralet, Université de Strasbourg, France; Felipe Carlos, Group on Earth Observation, Switzerland; Felipe Souza, Gilberto Camara, National Institute for Space Research, Brazil
MO3.R10.2: FEW-SHOT ADAPTATION BENCHMARK FOR REMOTE SENSING VISION-LANGUAGE MODELS
Karim El Khoury, Maxime Zanella, Christophe De Vleeschouwer, Benoit Macq, UCLouvain, Belgium
MO3.R10.3: A High-Quality Southeast Asian Peatland Drainage Dataset via Joint Segmentation-Orientation Learning and Manual Fine-Tuning
Qin Zhao, Chenguang Hou, Aik Song Chia, Leong Keong Kwoh, Kim Hwa Lim, National University of Singapore, Singapore
MO3.R10.4: PARAMETERLESS VESSEL DETECTION METHOD FOR PERFORMANCE BENCHMARKING OF HYDROPHONE ARRAYS
Lucas Orellana, Kristian Aalling Soerensen, Patrizio Mariani, Hasse Pedersen, Technical University of Denmark, Denmark
MO3.R10.5: Accelerating Earth Science to Action
Zhong Liu, NASA Goddard Earth Sciences Data and Information Services Center (George Mason University), United States; Yixin Wen, University of Florida, United States
Contacts