FR1.R15.5
CHIME Onboard AI for Marine-Anomaly Screening: CHIME-MDset Proxy Dataset, 14- Feature Linear SVM, and Validation
Adrien Joliat, Laurent Despoisse, Marco Celesti, Adrian Leonardo Garcia Garcia, Jens Nieke, ESA, Netherlands
Session:
FR1.R15: Scalable Learning for Remote Sensing Oral
Track:
AI and Big Data
Location:
TBD
Presentation Time:
Fri, 14 Aug, 09:30 - 09:45
Session Co-Chairs:
Jens Nieke, European Space Research and Technology Centre (ESTEC) and Cameron Penne,
Presentation
Discussion
Resources
No resources available.
Session FR1.R15
FR1.R15.1: EFFICIENT DEPLOYMENT AND OPTIMIZATION OF VISUAL MODELS ON HETEROGENEOUS HARDWARE
Hao Su, Jun Yin, Peng Huang, Ge Wu, Xiaofeng zhang, ZheJiang Dahua Technology CO., LTD, China
FR1.R15.2: DFP-PEFT: DECOUPLED FEDERATED PERSONALIZED PEFT FOR ONBOARD ORIENTED OBJECT DETECTION
Yiming Zhang, Nanjing University of Science and Technology, China; Peng Zheng, Southeast University, China; Zebin Wu, Jin Sun, Junlong Zhou, Zhihui Wei, Nanjing University of Science and Technology, China
FR1.R15.3: VBLS: VIT-BASED BROAD LEARNING SYSTEM FOR REMOTE SENSING SCENE CLASSIFICATION
Zishu Liu, Chunbo Luo, Zeyu Fu, University of Exeter, United Kingdom; David Moffat, Plymouth Marine Lab, United Kingdom
FR1.R15.4: Summarize First, Download Later: Onboard VLMs for Bandwidth-Efficient Earth Observation
Junghwan Park, Sangcheol Sim, Woojin Cho, Darongsae Kwon, TelePIX, Korea (South)
FR1.R15.5: CHIME Onboard AI for Marine-Anomaly Screening: CHIME-MDset Proxy Dataset, 14- Feature Linear SVM, and Validation
Adrien Joliat, Laurent Despoisse, Marco Celesti, Adrian Leonardo Garcia Garcia, Jens Nieke, ESA, Netherlands
Contacts