WA.PA: Image and Video Classification
Wed, 11 Oct, 11:00 - 12:30 Malaysia Time (UTC +8)
Location: Poster Area A
Session Type: Poster
Session Chair: Sue Han Lee, Swinburne University of Technology
Track: Applications of Machine Learning
Click the to view the manuscript on IEEE Xplore Open Preview
 

WA.PA.1: Learn more: Sub-significant area learning for fine-grained visual classification
Weiyao Pan, Shengying Yang, Xiaohong Qian, Jingsheng Lei, Zhejiang University of Science and Technology, China; Shuai Zhang, Hangzhou Yineng Electric Technology Co. LTD, China
 

WA.PA.2: CLIP-FG:SELECTING DISCRIMINATIVE IMAGE PATCHES BY CONTRASTIVE LANGUAGE-IMAGE PRE-TRAINING FOR FINE-GRAINED IMAGE CLASSIFICATION
Min Yuan, Ningning Lv, Yufei Xie, Fuxiang Lu, Kun Zhan, Lanzhou University, China
 

WA.PA.3: DEEP ACTIVE LEARNING BASED ON SALIENCY-GUIDED DATA AUGMENTATION FOR IMAGE CLASSIFICATION
Ying Liu, Yuliang Pang, Weidong Zhang, Xi'an University of Posts & Telecommunications, China
 

WA.PA.4: PFC-UNIT: UNSUPERVISED IMAGE-TO-IMAGE TRANSLATION WITH PRE-TRAINED FINE-GRAINED CLASSIFICATION
Yu-Ying Liang, Yuan-Gen Wang, Guangzhou University, China
 

WA.PA.5: REAL-TIME WHEEL DETECTION AND RIM CLASSIFICATION IN AUTOMOTIVE PRODUCTION
Roman Staněk, Charles University, Czechia; Tomáš Kerepecký, Adam Novozámský, Filip Šroubek, Barbara Zitová, Jan Flusser, Czech Academy of Sciences, Czechia
 

WA.PA.6: LEVERAGING EFFICIENT TRAINING AND FEATURE FUSION IN TRANSFORMERS FOR MULTIMODAL CLASSIFICATION
Kenan Emir Ak, Gwang-Gook Lee, Yan Xu, Mingwei Shen, Amazon Inc., United States of America
 

WA.PA.7: AN L2-NORMALIZED SPATIAL ATTENTION NETWORK FOR ACCURATE AND FAST CLASSIFICATION OF BRAIN TUMORS IN 2D T1-WEIGHTED CE-MRI IMAGES
Grace Billingsley, Arizona State University, United States of America; Julia Dietlmeier, Dublin City University, Ireland; Vivek Narayanaswamy, Andreas Spanias, Arizona State University, United States of America; Noel E. O’Connor, Dublin City University, Ireland
 

WA.PA.8: Zero-shot Human-Object Interaction (HOI) Classification by Bridging Generative and Contrastive Image-Language Models
Ying Jin, Microsoft, University of Washington, United States of America; Yinpeng Chen, Jianfeng Wang, Lijuan Wang, Microsoft, United States of America; Jenq-Neng Hwang, University of Washington, United States of America; Zicheng Liu, Microsoft, United States of America
 

WA.PA.9: A MULTI-MODAL TRANSFORMER APPROACH FOR FOOTBALL EVENT CLASSIFICATION
Yixiao Zhang, Baihua Li, Hui Fang, Qinggang Meng, Loughborough University, United Kingdom of Great Britain and Northern Ireland
 

WA.PA.10: STAGE OF DECAY ESTIMATION EXPLOITING EXOGENOUS AND ENDOGENOUS IMAGE ATTRIBUTES TO MINIMIZE MANUAL LABELING EFFORTS AND MAXIMIZE CLASSIFICATION PERFORMANCE
Anna-Maria Nau, Audris Mockus, Dawnie Wolfe Steadman, University of Tennessee, Knoxville, United States of America
 

WA.PA.11: Fine-to-coarse Object Classification of Very Large Images
Zeinab Hakimi, Vijaykrishnan Narayanan, Pennsylvania State University, United States of America
 

WA.PA.12: Hybrid Contrastive Prototypical Network for Few-Shot Scene Classification
Junjie Zhu, Ke Yang, Chunping Qiu, Mengyuan Dai, Naiyang Guan, Xiaodong Yi, National Innovation Institute of Defense Technology, China