{"title":"Fast recognition of cat and dog images based on network compression","authors":"Peng Wang, Mengya Chen","doi":"10.1117/12.2654130","DOIUrl":null,"url":null,"abstract":"Cat and dog recognition is a classic problem in the field of image recognition. This paper proposes a fast detection algorithm FAST-CD-Classification-Net for this problem. The algorithm improves F1 from 0.7299 to 0.9875 with the help of residual structure; The product acceleration network reduces the running time from 0.025s to 0.008s without significantly reducing the accuracy. Experiments on the data set CD-KAGGLE show that the accuracy and robustness of the recognition algorithm designed in this paper are better than other algorithms.","PeriodicalId":32903,"journal":{"name":"JITeCS Journal of Information Technology and Computer Science","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2022-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"JITeCS Journal of Information Technology and Computer Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1117/12.2654130","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Cat and dog recognition is a classic problem in the field of image recognition. This paper proposes a fast detection algorithm FAST-CD-Classification-Net for this problem. The algorithm improves F1 from 0.7299 to 0.9875 with the help of residual structure; The product acceleration network reduces the running time from 0.025s to 0.008s without significantly reducing the accuracy. Experiments on the data set CD-KAGGLE show that the accuracy and robustness of the recognition algorithm designed in this paper are better than other algorithms.