TU1.P11.5
MIFNet: Multi-modal Interactive Fusion Network For Remote Sensing Semantic Segmentation
Bei Cheng, Beihao Xu, Quanli Deng, Tao Shen, Kunming University of Science and Technology, China
Session:
TU1.P11: Semantic Segmentation Oral
Track:
Data Analysis
Location:
Plaza: Room P11
Presentation Time:
Tuesday, 5 August, 09:00 - 09:15
Session Co-Chairs:
Jun Zhou, Griffith University and Jiaojiao Li, Xidian University
Session TU1.P11
TU1.P11.1: MVMAMBA: A MULTI-VIEW MAMBA WITH TREE SCANNING STRATEGY FOR REMOTE SENSING SEMANTIC SEGMENTATION TASK
Yin Hu, Ziyao Wang, Xianping Ma, Man-On Pun, The Chinese University of Hong Kong, Shenzhen, China
TU1.P11.2: DEPTHSEG: DEPTH PROMPTING IN REMOTE SENSING SEMANTIC SEGMENTATION
Ning Zhou, Wuhan University, China; Shanxiong Chen, Changjiang Spatial Information Technology Engineering Co., Ltd, China; Mingting Zhou, Haigang Sui, Lieyun Hu, Han Li, Wuhan University, China; Li Hua, Huazhong Agricultural University, China; Qiming Zhou, Hong Kong Baptist University, China
TU1.P11.3: Guidelines to Compare Semantic Segmentation Maps at Different Resolutions
Christian Ayala Lauroba, Carlos Aranda Torres, Tracasa Instrumental S.L., Spain; Mikel Galar Idoate, Public University of Navarre, Spain
TU1.P11.4: A Frequency Adaptive Transformer for Semantic Segmentation of Remote Sensing Images
Xin Li, Feng Xu, Xin Lyu, Fan Liu, Hohai University, China; Yao Tong, Nanjing University of Chinese Medicine, China; Jue Zhang, Jun Zhou, Griffith University, Australia
TU1.P11.5: MIFNet: Multi-modal Interactive Fusion Network For Remote Sensing Semantic Segmentation
Bei Cheng, Beihao Xu, Quanli Deng, Tao Shen, Kunming University of Science and Technology, China
Resources