作者：
FLACKBERT, A. CLYDETHE AUTHOR:A. CLYDE FLACKBERT served in the Naval Reserve as a Lt(jg) during World War II with duty at the Naval Research Laboratory
later joining the Office of Naval Research as a civilian. He is currently Manager of Engineering Operations for the Automatic Test Systems Laboratory of Hughes Aircraft Company Culver City California. Prior to this he was an engineering manager at the Aeronutronic Division of the Ford Motor Company and a manager for a major program at the Airborne Instruments Laboratory Division of Cutler-Hammer. He received his Bachelor's degree in Electrical Engineering at Purdue University and continued with his studies at M.I.T. and Adelphi College. He is a Registered Professional Engineer a Senior Member of the Institute of Electrical and Electronic Engineers and a Member of the Operations Research Society of America.
To ensure the reliability and durability of the head-disk interface of magnetic disk drives, the lubricant film flow coated on the disk surface has become a significant concern because it is related to recovery perfor...
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This book constitutes the refereed proceedings of the 10th International Conference on Cellular Automata for research and Industry, ACRI 2012, held in Santorini Island, Greece, in September 2012. The 88 revised papers...
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ISBN:
(数字)9783642333507
ISBN:
(纸本)9783642333491
This book constitutes the refereed proceedings of the 10th International Conference on Cellular Automata for research and Industry, ACRI 2012, held in Santorini Island, Greece, in September 2012. The 88 revised papers were carefully selected from numerous submissions. In order to give a perspective in which both theoretical and applicational aspects of cellular automata contribute to the growth of the area, this book mirrors the structure of the conference, grouping the 88 papers into two main parts. The first part collects papers presented as part of the main conference and organized according to six main topics: theoretical results on cellular automata; cellular automata dynamics, control and synchronization; cellular automata and networks; modeling and simulation with cellular automata; cellular automata-based hardware and architectures; codes, pseudorandom number generators and cryptography with cellular automata. The second part of the volume is dedicated to contributions presented during the ACRI 2012 workshops on theoretical advances, specifically asynchronous cellular automata, and challenging application contexts for cellular automata: crowds and CA, traffic and CA, and the satellite Workshop on cellular automata of cancer growth and invasion.
作者：
Xin ZhangHongzhi FengM. Shamim HossainYinzhuo ChenHongbo WangYuyu YinHangzhou Dianzi University
China Key Laboratory of Complex Systems Modeling and Simulation Ministry of Education China Zhoushan Tongbo Marine Electronic Information Research Institute Hangzhou Dianzi University China and Yunnan Key Laboratory of Service Computing Yunnan University of Finance and Economics China Hangzhou Dianzi University
China Department of Software Engineering
College of Computer and Information Sciences King Saud University Saudi Arabia Hangzhou Dianzi University
China Key Laboratory of Complex Systems Modeling and Simulation Ministry of Education China and Zhoushan Tongbo Marine Electronic Information Research Institute Hangzhou Dianzi University China
Action Quality Assessment (AQA) has become crucial in video analysis, finding wide applications in various domains, such as healthcare and sports. A significant challenge faced by AQA is the background bias due to the...
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Action Quality Assessment (AQA) has become crucial in video analysis, finding wide applications in various domains, such as healthcare and sports. A significant challenge faced by AQA is the background bias due to the dominance of the background in videos. Especially, the background bias tends to overshadow subtle foreground differences, which is crucial for precise action evaluation. To address the background bias issue, we propose a novel data augmentation method named Scaled Background Swap. Firstly, the background regions between different video samples are swapped to guide models focus toward the dynamic foreground regions and mitigate its sensitivity to the background during training. Secondly, the video’s foreground region is up-scaled to further enhance models’ attention to the critical foreground action information for AQA tasks. In particular, the proposed Scaled Background Swap method can effectively improve models’ accuracy and generalization by prioritizing foreground motion and swapping backgrounds. It can be flexibly applied with various video analysis models. Extensive experiments on AQA benchmarks demonstrate that Scaled Background Swap method achieves better performance than baselines. Specifically, the Spearman’s rank correlation on datasets AQA-7 and MTL-AQA reaches 0.8870 and 0.9526, respectively. The code is available at: https://***/Emy-cv/Scaled-Background Swap.
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