网址 vipazoo.cn 抓取结果

视觉智能与模式分析 Toggle navigation {{ $t("tab.home") }} {{ $t("tab.research") }} {{ $t("tab.resources") }} {{ $t("tab.news and event") }} {{ $t("tab.publications") }} {{ $t("tab.people") }} {{ $t("tab.contact") }} {{ $t("tab.language") }} {{ $t("about.title") }} {{ $t("about.text") }} {{ $t("research.title") }} {{ $t("research.Augmented Visual Perception") }} {{ $t("research.Visual Embedding") }} {{ $t("research.Vision based HCI") }} {{ $t("research.Machine Learning") }} {{ $t("resources.title") }} {{ $t("resources.text") }} {{ $t("resources.platforms.title") }} {{ $t("resources.platforms.platform_title['"+index+"']") }} Previous Next {{ $t("resources.data.title") }} {{ $t("resources.data.Line Drawing Face Database") }} Please cite M. Song, et al., Image-based sketch-to-photo synthesis via online coupled dictionary learning, Information Sciences (INS), 193:233-246, 2012. {{ $t("resources.data.CAA Ancient Character Recognition and Transformation Dataset") }} {{ $t("resources.data.CMLR Dataset") }} {{ $t("resources.data.Chinese Face Video Anti-Forgery Dataset") }} {{ $t("resources.code.title") }} {{ $t("resources.code.Trans-Net") }} {{ $t("resources.code.EVS-Net") }} {{ $t("resources.code.NetGraft") }} {{ $t("resources.code.One-GORD") }} {{ $t("resources.code.Neural Style Transfer: A Review") }} {{ $t("resources.code.KAmalEngine") }} {{ $t("resources.code.Deep Model Transferability from Attribution Maps") }} {{ $t("news and event.title") }} {{ $t("news and event.carousel_title['"+index+"']") }} Previous Next {{event.date.day<10?'0'+event.date.day:event.date.day}} {{ $t("news and event.month['"+event.date.month+"']") }} {{event.date.year}} {{ $t("news and event.news_title['"+index+"']") }} {{ $t("news and event['"+news_viewmore_or_collapse+"']") }} {{ $t("publications.title") }} {{ $t("publications.all") }} 2024 2023 2022 2021 2020 2019 2018 2017 2016 2015 2014 2013 2012 2011 2010 2009 2008 2007 2006 2005 2004 {{ $t("publications.publications['"+index+"'].title") }} {{ $t("publications.publications['"+index+"'].authors") }} {{ $t("publications.publications['"+index+"'].published_on") }} {{ $t("people.title") }} {{ $t("people.type."+type) }} {{ $t("people.name['"+type+"']['"+index+"']") }} {{ $t("people.Alumni['"+person.position+"']", {year: person.year}) }} {{ $t("people.position['"+person.position+"']") }} {{ $t("contact.title") }} {{ $t("contact.address.title") }} ©2017-2021 视觉智能与模式分析课题组 浙ICP备19005074号-1 浙公网安备 33010602012161号

工具简介

通过本工具可以快速模拟搜索引擎蜘蛛访问页面所抓取到的内容信息!