WE4.M1: Deep Learning for Image Classification
Wednesday, 6 August, 15:45 - 17:00
Location: Room M1
Session Type: Oral
Track: Data Analysis
Wed, 6 Aug, 15:45 - 16:00

WE4.M1.1: CLASSIFICATION OF HYPERSPECTRAL IMAGES USING GRAPH KOLMOGOROV-ARNOLD CONVOLUTIONAL NETWORK WITH LIMITED SAMPLES
Hengyi Zheng, Hui Shen, Weimeng Xu, Yufan Yang, Hongjun Su, Hohai University, China; Qian Du, Mississippi State University, United States
Wed, 6 Aug, 16:00 - 16:15

WE4.M1.2: CSMAMBA: A MULTI-SCALE FRAMEWORK INTEGRATING CNN WITH SUPERPIXEL-LEVEL MAMBA FOR HYPERSPECTRAL IMAGE CLASSIFICATION
Yilin Duan, China University of Geosciences, China; Jia Chen, Wuhan University of Science and Technology, China; Zhaozhao Zeng, Jun Li, China University of Geosciences, China
Wed, 6 Aug, 16:15 - 16:30

WE4.M1.3: FUNCTION-LEVEL BUILDING FOOTPRINT SEGMENTATION BASED ON VISUAL-LANGUAGE FOUNDATION MODEL
Da He, Xiaoping Liu, Qian Shi, Yan Zhou, Sun Yat-Sen University, China; Qiqi Zhu, China University of Geosciences (Wuhan), China
Wed, 6 Aug, 16:30 - 16:45

WE4.M1.4: MULTI-LABEL REMOTE SENSING IMAGE CLASSIFICATION VIA SCENE-TO-LABEL LEARNING
Ruiqi Du, Xu Tang, Jingjing Ma, Xiangrong Zhang, Xidian University, China
Wed, 6 Aug, 16:45 - 17:00

WE4.M1.5: Patch-Based Tiny Object Classification for High Resolution Aerial Images
Mohammad Iqbal Nouyed, Gianfranco Doretto, Donald A. Adjeroh, West Virginia University, United States