IVMSP-L10.5
HMNet: Hierarchical Microscale-aware Network for Infrared Small Target Detection
Yueqian Quan, Honghui Xu, Yidong Yan, Hang Zheng, Jianwei Zheng, Zhejiang University of Technology, China
Session:
IVMSP-L10: Detection Lecture
Track:
Image, Video, and Multidimensional Signal Processing
Location:
Room 102
Presentation Time:
Thu, 18 Apr, 14:30 - 14:50 (UTC +9)
Session Co-Chairs:
Raghuveer Rao , DEVCOM Army Research Laboratory and Yong Man Ro, KAIST, Korea
Session IVMSP-L10
IVMSP-L10.1: CHANGENET: MULTI-TEMPORAL ASYMMETRIC CHANGE DETECTION DATASET
Deyi Ji, University of Science and Technology of China; Alibaba Group, China; Siqi Gao, Mingyuan Tao, Alibaba Group, China; Hongtao Lu, Shanghai Jiao Tong University, China; Feng Zhao, University of Science and Technology of China, China
IVMSP-L10.2: TokenMotion: Motion-Guided Vision Transformer for Video Camouflaged Object Detection Via Learnable Token Selection
Zifan Yu, Arizona State Univerisy, United States of America; Erfan Bank Tavakoli, Arizona State University, United States of America; Meida Chen, University of Southern California, United States of America; Suya You, T09Raghuveer Rao, U.S. DEVCOM Army Research Laboratory, United States of America; Sanjeev Agarwal, U.S. DEVCOM Army C5ISR Center, United States of America; Fengbo Ren, Arizona State University, United States of America
IVMSP-L10.3: SAMF: SMALL-AREA-AWARE MULTI-FOCUS IMAGE FUSION FOR OBJECT DETECTION
Xilai Li, Xiaosong Li, Haishu Tan, Jinyang Li, Foshan University, China
IVMSP-L10.4: ZIGZAG ATTENTION: A STRUCTURAL AWARE MODULE FOR LANE DETECTION
Jiajun Ling, Huazhong University of Science and Technology, China; Yifan Chen, ShanghaiTech University, China; Qimin Cheng, Huazhong University of Science and Technology, China; Xiao Huang, Emory University, United States of America
IVMSP-L10.5: HMNet: Hierarchical Microscale-aware Network for Infrared Small Target Detection
Yueqian Quan, Honghui Xu, Yidong Yan, Hang Zheng, Jianwei Zheng, Zhejiang University of Technology, China
IVMSP-L10.6: Pseudo-outlier synthesis using q-Gaussian distributions for out-of-distribution detection
Ryo Nakamura, National Institute of Advanced Industrial Science and Technology (AIST) / Fukuoka University, Japan; Ryu Tadokoro, Tohoku University, Japan; Eisuke Yamagata, Tokyo Institute of Technology, Japan; Yusuke Kondo, Tokyo University, Japan; Kensho Hara, Hirokatsu Kataoka, National Institute of Advanced Industrial Science and Technology (AIST), Japan; Nakamasa Inoue, Tokyo Institute of Technology, Japan
Contacts