TP-V1.V4.5

Ψ-NET IS AN EFFICIENT TINY DEFECT DETECTOR

Bohua Wang, Hao Zhou, Wenrui Luo, Chenyang Li, Zhoubing Li, Zhiqiang Tian, Xi'an Jiaotong University, China
Session:
Detection and Recognition
Virtual Poster
Track:
Applications of Machine Learning
Location:
Gather.Town 4
Presentation Time:
Tue, 4 Oct, 21:00 - 22:00 China Standard Time (UTC +8)
Tue, 4 Oct, 15:00 - 16:00 Central European Time (UTC +2)
Tue, 4 Oct, 13:00 - 14:00 UTC
Tue, 4 Oct, 09:00 - 10:00 Eastern Time (UTC -4)
Session Co-Chairs:
Andrea Cavallaro, Queen Mary University of London and Jean-Christophe Pesquet, CentraleSupélec and Rebecca Willett, University of Chicago
Presentation
Discussion
Resources
No resources available.
Session TP-V1.V4
TP-V1.V4.1: PPT: ANOMALY DETECTION DATASET OF PRINTED PRODUCTS WITH TEMPLATES
Huang Tian, Xiang Li, Lingfeng Yang, Jun Li, Jian Yang, Nanjing University of Science and Technology, China; Weidong Du, Focusight Technology Co.,Ltd, China
TP-V1.V4.2: ELDNET: ESTABLISHMENT AND REFINEMENT OF EDGE LIKELIHOOD DISTRIBUTIONS FOR CAMOUFLAGED OBJECT DETECTION
Chiyuan He, Linfeng Xu, Zihuan Qiu, University of Electronic Science and Technology of China, China
TP-V1.V4.3: Hierarchical Defect Detection based on Reinforcement Learning
Fen Fang, Qianli Xu, Joo-hwee Lim, Home address, Singapore
TP-V1.V4.4: Learning Selective Assignment Network for Scene-aware Vehicle Detection
Zhenting Wang, Wei Li, Xiao Wu, Luhan Sheng, Southwest Jiaotong University, China
TP-V1.V4.5: Ψ-NET IS AN EFFICIENT TINY DEFECT DETECTOR
Bohua Wang, Hao Zhou, Wenrui Luo, Chenyang Li, Zhoubing Li, Zhiqiang Tian, Xi'an Jiaotong University, China
TP-V1.V4.6: USING DEEP LEARNING TO IMPROVE DETECTION AND DECODING OF BARCODES
Chaoxin Wang, Doina Caragea, Kansas State University, United States of America; Nicolais Guevara, Siena Analytics, United States of America
TP-V1.V4.7: Class Activation Map Refinement via Semantic Affinity Exploration for Weakly Supervised Object Detection
Zhendong Wang, Zhenyuan Chen, Chen Gong, Nanjing University of Science and Technology, China; , ,
TP-V1.V4.8: IMPROVING RGB-INFRARED PEDESTRIAN DETECTION BY REDUCING CROSS-MODALITY REDUNDANCY
Qingwang Wang, Yongke Chi, Tao Shen, Jian Song, Zifeng Zhang, Yan Zhu, Kunming University of Science and Technology, China
TP-V1.V4.9: MIXTURE OF TEACHER EXPERTS FOR SOURCE-FREE DOMAIN ADAPTIVE OBJECT DETECTION
Vibashan VS, Poojan Oza, Vishwanath A. Sindagi, Vishal M. Patel, Johns Hopkins University, United States of America
TP-V1.V4.10: ANISOTROPIC EDGE DETECTION IN CATADIOPTRIC IMAGES
Enzhuang Zheng, Baojiang Zhong, Soochow University, China; Kai-Kuang Ma, Nanyang Technological University, China
TP-V1.V4.11: MSL-FER: MIRRORED SELF-SUPERVISED LEARNING FOR FACIAL EXPRESSION RECOGNITION
Xiangshuai Pan, Weifeng Liu, Yanjiang Wang, Baodi Liu, China University of Petroleum (East China), China; Xiaoping Lu, Haier Industrial Intelligence Institute Co., Ltd., China
TP-V1.V4.12: PROGRESSIVE TRAINING ENABLED FINE-GRAINED RECOGNITION
Bin Kang, Fan Wu, Xin Li, Quan Zhou, Nanjing University of Posts and Telecommunications, China
TP-V1.V4.13: EOGFACE: DEEP FACE RECOGNITION VIA EXTENSIONAL LOGITS
Xingying Zhao, Hao Jiang, Dong Shen, Renmin University of China, China
TP-V1.V4.14: SMILE: SEQUENCE-TO-SEQUENCE DOMAIN ADAPTATION WITH MINIMIZING LATENT ENTROPY FOR TEXT IMAGE RECOGNITION
Yen-Cheng Chang, Yi-Chang Chen, Yu-Chuan Chang, E.SUN Financial Holding Company, Taiwan; Yi-Ren Yeh, Department of Mathematics, National Kaohsiung Normal University, Taiwan, Taiwan
TP-V1.V4.15: LEARNING CONTEXTUALLY FUSED AUDIO-VISUAL REPRESENTATIONS FOR AUDIO-VISUAL SPEECH RECOGNITION
Zi-Qiang Zhang, Jie Zhang, Ming-Hui Wu, Xin Fang, Li-Rong Dai, University of Science and Technology of China, China; Jian-Shu Zhang, iFlytek Research, China