阿里计算机视觉技术精选 CVPR 顶会 2018 阿里论文

  • B9_562328
    了解作者
  • 3.7MB
    文件大小
  • zip
    文件格式
  • 0
    收藏次数
  • VIP专享
    资源类型
  • 0
    下载次数
  • 2022-06-15 02:36
    上传日期
在这本干货精选集中,我们收录了多篇具有代表性的 CVPR 2018 论文。比如,拍立淘利用图像搜索和识别技术,帮助用户在移动端通过拍照就能找到相似商品;线下新零售领域,阿里用空间定位、货架商品SKU识别技术推动“人货场”数字化,并做进一步的商业分析;城市大脑项目中,阿里研发了大规模视频高效处理技术,帮助城市交通事故识别、人流轨迹判断、交通数据样本汇总。
CVPR-2018顶会 阿里巴巴机器智能计算机视觉技术精选.zip
  • CVPR-2018顶会 阿里巴巴机器智能计算机视觉技术精选.pdf
    3.9MB
内容介绍
<html xmlns="http://www.w3.org/1999/xhtml"><head><meta charset="utf-8"><meta name="generator" content="pdf2htmlEX"><meta http-equiv="X-UA-Compatible" content="IE=edge,chrome=1"><link rel="stylesheet" href="https://csdnimg.cn/release/download_crawler_static/css/base.min.css"><link rel="stylesheet" href="https://csdnimg.cn/release/download_crawler_static/css/fancy.min.css"><link rel="stylesheet" href="https://csdnimg.cn/release/download_crawler_static/10882440/raw.css"><script src="https://csdnimg.cn/release/download_crawler_static/js/compatibility.min.js"></script><script src="https://csdnimg.cn/release/download_crawler_static/js/pdf2htmlEX.min.js"></script><script>try{pdf2htmlEX.defaultViewer = new pdf2htmlEX.Viewer({});}catch(e){}</script><title></title></head><body><div id="sidebar" style="display: none"><div id="outline"></div></div><div id="pf1" class="pf w0 h0" data-page-no="1"><div class="pc pc1 w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="https://csdnimg.cn/release/download_crawler_static/10882440/bg1.jpg"><div class="t m0 x1 h2 y1 ff1 fs0 fc0 sc0 ls0 ws0"><span class="fc1 sc0">CV</span><span class="fc1 sc0">PR</span><span class="fc1 sc0">-</span><span class="ls1"><span class="fc1 sc0">2018</span></span><span class="fc1 sc0"> </span><span class="_ _0"> </span><span class="ff2"><span class="fc1 sc0">&#38463;&#37324;</span><span class="fc1 sc0">&#24052;&#24052;</span><span class="fc1 sc0">&#25910;&#24405;</span><span class="fc1 sc0">&#35770;&#25991;</span></span><span class="fc1 sc0"> </span></div><div class="t m0 x2 h3 y2 ff1 fs0 fc0 sc0 ls0 ws0"><span class="fc1 sc0"> </span></div><div class="t m0 x3 h4 y3 ff3 fs1 fc0 sc0 ls0 ws0"><span class="fc1 sc0"> </span></div><div class="t m0 x3 h4 y4 ff3 fs1 fc0 sc0 ls0 ws0"><span class="fc1 sc0"> </span></div><div class="t m0 x3 h4 y5 ff3 fs1 fc0 sc0 ls0 ws0"><span class="fc1 sc0"> </span></div><div class="t m0 x3 h4 y6 ff3 fs1 fc0 sc0 ls0 ws0"><span class="fc1 sc0"> </span></div><div class="t m0 x3 h4 y7 ff3 fs1 fc0 sc0 ls0 ws0"><span class="fc1 sc0"> </span></div><div class="t m0 x3 h4 y8 ff3 fs1 fc0 sc0 ls0 ws0"><span class="fc1 sc0"> </span></div><div class="t m0 x3 h4 y9 ff3 fs1 fc0 sc0 ls0 ws0"><span class="fc1 sc0"> </span></div><div class="t m0 x3 h4 ya ff3 fs1 fc0 sc0 ls0 ws0"><span class="fc1 sc0"> </span></div><div class="t m0 x3 h4 yb ff3 fs1 fc0 sc0 ls0 ws0"><span class="fc1 sc0"> </span></div><div class="t m0 x3 h4 yc ff3 fs1 fc0 sc0 ls0 ws0"><span class="fc1 sc0"> </span></div><div class="t m0 x3 h4 yd ff3 fs1 fc0 sc0 ls0 ws0"><span class="fc1 sc0"> </span></div><div class="t m0 x3 h4 ye ff3 fs1 fc0 sc0 ls0 ws0"><span class="fc1 sc0"> </span></div><div class="t m0 x3 h4 yf ff3 fs1 fc0 sc0 ls0 ws0"><span class="fc1 sc0"> </span></div><div class="t m0 x3 h4 y10 ff3 fs1 fc0 sc0 ls0 ws0"><span class="fc1 sc0"> </span></div><div class="t m0 x3 h4 y11 ff3 fs1 fc0 sc0 ls0 ws0"><span class="fc1 sc0"> </span></div><div class="t m0 x3 h4 y12 ff3 fs1 fc0 sc0 ls0 ws0"><span class="fc1 sc0"> </span></div><div class="t m0 x3 h4 y13 ff3 fs1 fc0 sc0 ls0 ws0"><span class="fc1 sc0"> </span></div><div class="t m0 x3 h4 y14 ff3 fs1 fc0 sc0 ls0 ws0"><span class="fc1 sc0"> </span></div><div class="t m0 x3 h4 y15 ff3 fs1 fc0 sc0 ls0 ws0"><span class="fc1 sc0"> </span></div><div class="t m0 x3 h4 y16 ff3 fs1 fc0 sc0 ls0 ws0"><span class="fc1 sc0"> </span></div><div class="t m0 x3 h4 y17 ff3 fs1 fc0 sc0 ls0 ws0"><span class="fc1 sc0"> </span></div><div class="t m0 x3 h4 y18 ff3 fs1 fc0 sc0 ls0 ws0"><span class="fc1 sc0"> </span></div><div class="t m0 x3 h4 y19 ff3 fs1 fc0 sc0 ls0 ws0"><span class="fc1 sc0"> </span></div></div><div class="pi" data-data='{"ctm":[1.611792,0.000000,0.000000,1.611792,0.000000,0.000000]}'></div></div></body></html>
评论
    相关推荐