TU2.R1: Object Detection and Recognition IX
Tue, 9 Jul, 11:40 - 13:20
Location: Trianti
Session Type: Oral
Session Co-Chairs: Jade Guisiano, ISEP, École Polytechnique, UN Environment Programme and Maximilian Kleebauer, University of Kassel and Manuel Reese, Osnabrück University
Track: Data Analysis
Tue, 9 Jul, 11:40 - 11:54

TU2.R1.1: EMBEDDING ATTRIBUTE SCATTERING CENTER WITH CONVOLUTIONAL PROTOTYPE LEARNING FOR SAR OPEN-SET RECOGNITION

Xiayang Xiao, Zhuoxuan Li, Fudan University, China; Xiang Wu, Overall Design Institute of Hubei Aerospace Technology Research Institute, China; Haipeng Wang, Fudan University, China
Tue, 9 Jul, 11:54 - 12:08

TU2.R1.2: Object detection models sensitivity & robustness to satellite-based adversarial attacks

Jade Guisiano, ISEP, École Polytechnique, UN Environment Programme, France; Domenico Barretta, University of Campania “Luigi Vanvitelli”, Italy; Éric Moulines, École polytechnique, France; Thomas Lauvaux, Université de Reims, France; Jérémie Sublime, Insitut Supérieur d’Électronique de Paris, France
Tue, 9 Jul, 12:08 - 12:22

TU2.R1.3: AN INTEGRATED APPROACH FOR LANDSCAPE ELEMENT DETECTION AND CHARACTERIZATION USING SENTINEL-2 AND ENMAP DATA

Manuel Reese, Björn Waske, Osnabrück University, Germany
Tue, 9 Jul, 12:22 - 12:36

TU2.R1.4: CROSS TEACHING BETWEEN SINGLE-SPECTRAL AND MULTI-SPECTRAL DETECTION TRANSFORMERS FOR REMOTE SENSING OBJECT DETECTION

Jiahe Zhu, Kaiyue Zhou, Huan Zhang, Shengjin Wang, Hongbing Ma, Tsinghua University, China
Tue, 9 Jul, 12:36 - 12:50

TU2.R1.5: Decoupled Multi-Teacher: Cross-modal Learning Enhanced Object Detection in SAR Imagery

Ruixiang Zhang, Yuxuan Wang, Haoyuan Li, Wuhan University, China; Pingping Huang, Inner Mongolia University of Technology, China; Wen Yang, Wuhan University, China
Tue, 9 Jul, 12:50 - 13:04

TU2.R1.6: Enhancing Wind Turbine Location Accuracy: A Deep Learning-Based Object Regression Approach for Validating Wind Turbine Geo-Coordinates

Maximilian Kleebauer, University of Kassel, Germany; Axel Braun, Fraunhofer Institute for Energy Economics and Energy System Technology, Germany; Daniel Horst, University of Kassel, Germany; Carsten Pape, Fraunhofer Institute for Energy Economics and Energy System Technology, Germany
Tue, 9 Jul, 13:04 - 13:18

TU2.R1.7: Non-cooperate Target Recognition via Proxy-based Feature Ensemble Supervised Contrastive Learning

Meng Lei, Yalong Lv, Yipeng Wang, Ying Zhang, University of Electronic Science and Technology of China, China