Ingus Janis Pretkalnins, A. Sprogis, Guntis Barzdins
{"title":"剪辑增强图像搜索","authors":"Ingus Janis Pretkalnins, A. Sprogis, Guntis Barzdins","doi":"10.5220/0011046600003197","DOIUrl":null,"url":null,"abstract":": We devised a probabilistic method for adding face recognition to the neural network model CLIP. The method was tested by creating a prototype and matching 1000 images to their descriptions. The method improved the text to image Recall @ 1 metric from 14.0% matches for CLIP alone to 21.8% for CLIP + method, for a sample size of 1000 images and descriptions.","PeriodicalId":414016,"journal":{"name":"International Conference on Complex Information Systems","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"CLIP Augmentation for Image Search\",\"authors\":\"Ingus Janis Pretkalnins, A. Sprogis, Guntis Barzdins\",\"doi\":\"10.5220/0011046600003197\",\"DOIUrl\":null,\"url\":null,\"abstract\":\": We devised a probabilistic method for adding face recognition to the neural network model CLIP. The method was tested by creating a prototype and matching 1000 images to their descriptions. The method improved the text to image Recall @ 1 metric from 14.0% matches for CLIP alone to 21.8% for CLIP + method, for a sample size of 1000 images and descriptions.\",\"PeriodicalId\":414016,\"journal\":{\"name\":\"International Conference on Complex Information Systems\",\"volume\":\"7 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Conference on Complex Information Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5220/0011046600003197\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Complex Information Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5220/0011046600003197","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
: We devised a probabilistic method for adding face recognition to the neural network model CLIP. The method was tested by creating a prototype and matching 1000 images to their descriptions. The method improved the text to image Recall @ 1 metric from 14.0% matches for CLIP alone to 21.8% for CLIP + method, for a sample size of 1000 images and descriptions.
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