TUP.P4.4

FEATURES MATTER: CROSS-DOMAIN MUTUAL CENTRALIZED LEARNING FOR FEW SHOT REMOTE SENSING OBJECT DETECTION

Kai Zhang, Qunbo Lv, Zheng Tan, Aerospace Information Research Institute, Chinese Academy of Sciences, China
Session:
TUP.P4: Detection and Classification in Remote Sensing Poster
Track:
Data Analysis
Location:
Poster Area 4
Presentation Time:
Tue, 18 Jul, 14:15 - 15:45 Pacific Time (UTC -8)
Session Chair:
Niki Clark, Maxar
Session Managers:
Ge Jiang and Lanying Wang and Ayoti Banerjee and Shubham Awasthi
Presentation
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Discussion
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Resources
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Session TUP.P4
TUP.P4.1: SEMI-SUPERVISED OBJECT DETECTION FOR SORGHUM PANICLES IN UAV IMAGERY
Enyu Cai, Jiaqi Guo, Changye Yang, Edward Delp, Purdue University, United States
TUP.P4.2: DECOUPLED INSTANCES DISTILLATION FOR REMOTE SENSING OBJECT DETECTION
Xiangyi Gao, Danpei Zhao, Ziqiang Chen, Beihang University, China
TUP.P4.3: DG-YOLOT: A LIGHTWEIGHT DENSITY GUIDED YOLO-TRANSFORMER FOR REMOTE SENSING OBJECT DETECTION
Nandini Saini, Research Scholar, Indian Institute of Technology, Jodhpur, India; Chiranjoy Chattopadhyay, Associate Professor, FLAME University, Pune, India; Debasis Das, Assistant Professor, Indian Institute of Technology, Jodhpur, India
TUP.P4.4: FEATURES MATTER: CROSS-DOMAIN MUTUAL CENTRALIZED LEARNING FOR FEW SHOT REMOTE SENSING OBJECT DETECTION
Kai Zhang, Qunbo Lv, Zheng Tan, Aerospace Information Research Institute, Chinese Academy of Sciences, China
TUP.P4.5: DECOUPLED MULTI-CLASS OBJECT DETECTION NETWORK BASED ON TASK-IRRELEVANT ENSEMBLE LEARNING
Guanqun Wang, Yin Zhuang, Jianlin Xie, Tong Zhang, He Chen, Liang Chen, Beijing Institute of Technology, China
TUP.P4.6: IMPROVING FEW-SHOT OBJECT DETECTION WITH OBJECT PART PROPOSALS
Arthur Chevalley, EPFL, Switzerland; Ciprian Tomoiagă, Marcin Detyniecki, AXA, Switzerland; Marc Russwurm, Devis Tuia, Ecole Polytechnique Fédérale de Lausanne, Switzerland
TUP.P4.7: WILDFIRE DETECTION BASED ON MULTI-TEMPORAL HIMAWARI-8 DATA
Shuang Yu, Weifeng Huang, Haoyu Zhang, University of Electronic Science and Technology of China, China; Guoqing Zhou, Guilin University of Technology, China; Yi Ma, Yunnan Power Grid Company Ltd, China; Zezhong Zheng, Ling Jiang, University of Electronic Science and Technology of China, China; Fangrong Zhou, Yunnan Power Grid Company Ltd, China; Qiang Liu, University of Electronic Science and Technology of China, China; Xuefeng Yang, China Railway Eryuan Engineering Group Co., LTD, China; Tao Weng, Chengdu Institute of Survey & Investigation, China
TUP.P4.8: Infrared Small Target Detection based on Improved Tri-Layer Window Local Contrast
Yuan Luo, Xiaorun Li, Shuhan Chen, Zhejiang University, China; Chaoqun Xia, Wenzhou University, China; Liaoying Zhao, Hangzhou Dianzi University, China
TUP.P4.9: SPARSE DETR BASED MULTI-SCALE OBJECT DETECTION IN OPTICAL REMOTE SENSING
Yuanyuan Wang, Tingting Xu, Yunchuan Chen, Jinghe Ren, Kuang Mao, Zhejiang Lab, China; Jibing Qiu, Chinese Academy of Sciences, China
TUP.P4.10: JOINT LEARNING FRAMEWORK FOR ROADS SEMANTIC SEGMENTATION FROM VHR AND VGI DATA
MUNAZZA USMANI, University of Trento and Fondazione Bruno Kessler Trento, Italy, Italy; FRANCESCA BOVOLO, MAURIZIO NAPOLITANO, Fondazione Bruno Kessler Trento, Italy, Italy
TUP.P4.11: LRCDNET: A LIGHTWEIGHT AND REAL-TIME CLOUD DETECTION NETWORK FOR REMOTE SENSING IMAGES
Ruofu Li, Junli Yang, Pengcheng Zhou, Ben Deng, Beijing University of Posts and Telecommunications, China
Resources
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