WE4.R1.5

SWINLITEKD: OPTIMIZING LANDSLIDE RECOGNITION USING SWIN-TRANSFORMER NETWORKS WITH KNOWLEDGE DISTILLATION

Renxiang Huang, Tao Chen, China University of Geosciences, China
Session:
WE4.R1: Object Detection and Recognition XX Oral
Track:
Data Analysis
Location:
Trianti
Presentation Time:
Wed, 10 Jul, 18:16 - 18:30
Session Chair:
Ioannis Papoutsis, NOA
Presentation
Discussion
Resources
No resources available.
Session WE4.R1
WE4.R1.1: COMPACT POLARIMETRIC SAR SHIP DETECTION BASED ON DEFORMATION CONVOLUTION AND DATA AUGMENTATION
Futing Zhang, Qiang Yin, Fan Zhang, Fei Ma, Yongsheng Zhou, Beijing University of Chemical Technology, China; ,
WE4.R1.2: GO DECOMPOSITION-BASED MODEL WITH INDEPENDENT COMPONENT ANALYSIS FOR HYPERSPECTRAL ANOMALY DETECTION
Xiao Zhang, Meiping Song, Dalian Maritime University, China
WE4.R1.3: AUTOMATIC POINT CLOUD CLASSIFICATION OF UNDER-REPRESENTED POLE-LIKE OBJECTS BASED ON HIERARCHICAL DIRECTED GRAPH
Zhenyu Ma, Onur Bayrak, Fabio Remondino, Bruno Kessler Foundation (FBK), Italy
WE4.R1.4: MORPHOLOGICAL APPROACH FOR FOREST WOODY DEBRIS DETECTION USING MULTI-PLATFORM, MULTI-RESOLUTION LIDAR DATA
Renato César dos Santos, Department of Cartography, São Paulo State University, Presidente Prudente, Brazil, Brazil; Sang-Yeop Shin, Raja Manish, Tian Zhou, Lyles School of Civil Engineering, Purdue University, West Lafayette, USA, United States; Songlin Fei, Department of Forestry and Natural Resources, Purdue University, West Lafayette, USA, United States; Ayman Habib, Lyles School of Civil Engineering, Purdue University, West Lafayette, USA, United States
WE4.R1.5: SWINLITEKD: OPTIMIZING LANDSLIDE RECOGNITION USING SWIN-TRANSFORMER NETWORKS WITH KNOWLEDGE DISTILLATION
Renxiang Huang, Tao Chen, China University of Geosciences, China
WE4.R1.6: DECOUPLING REPRESENTATION FOR NIGHTTIME AERIAL TRACKING
Xu Lei, Yan Zhang, Chang Xu, Wuhan University, China; Wensheng Cheng, Stony Brook University, United States; Wen Yang, Wuhan University, China
WE4.R1.7: Automatic Groundwater Detection from GPR Data using YOLOv8
Amir Tag, Sorbonne Universite, France; Omar Shouman, Qatar University, France; Essam Heggy, University of Southern California, United States; Tamer Khattab, Qatar University, Qatar
Resources
No resources available.