Evaluation of Results using Mean Average Precision

There are several reasons why the evaluation of results on datasets like the Pascal-VOC and ILSRVC is hard. It is well described in Pascal VOC 2009 challenge paper. Here are some of these: Images may contain instances of multiple classes so it is not sufficient to simply ask, “Which one of the m classes does this image belong to?” and then use the predicted result to compare with the actual....

June 19, 2016 · 5 min · Deshana

Playing around with RCNN- State of the art visual object detection system.

I was playing around with this implementation of RCNN released in 2015 by Ross Girshik. This method is described in detail in his Faster-RCNN paper resleased in NIPS 2015. (I was there and this groundbreaking unfurling of CNN+RCNN was happening around me which gives me all the more reason to be super excited!). I used the pre-trained VGG 16 net where VGG stands for Virtual Geometry Group and 16 because the network is 16-layered....

June 19, 2016 · 3 min · Deshana

Post2  [draft]

Policy Gradient Algorithms | Lil'Log #theme-toggle, .top-link { display: none; } @media (prefers-color-scheme: dark) { :root { --theme: rgb(29, 30, 32); --entry: rgb(46, 46, 51); --primary: rgb(218, 218, 219); --secondary: rgb(155, 156, 157); --tertiary: rgb(65, 66, 68); --content: rgb(196, 196, 197); --hljs-bg: rgb(46, 46, 51); --code-bg: rgb(55, 56, 62); --border: rgb(51, 51, 51); } .list { background: var(--theme); } .list:not(.dark)::-webkit-scrollbar-track { background: 0 0; } ....

September 17, 2015 · 105 min · Me