Can Image-Level Labels Replace Pixel-Level Labels for Image Parsing

7 Mar 2014 Zhiwu Lu Zhen-Yong Fu Tao Xiang Li-Wei Wang Ji-Rong Wen

This paper presents a weakly supervised sparse learning approach to the problem of noisily tagged image parsing, or segmenting all the objects within a noisily tagged image and identifying their categories (i.e. tags). Different from the traditional image parsing that takes pixel-level labels as strong supervisory information, our noisily tagged image parsing is provided with noisy tags of all the images (i.e. image-level labels), which is a natural setting for social image collections (e.g. Flickr)... (read more)

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