Collecting Shape Annotations from ImageNet by Crowdsourcing System and Study of Shape Recognition
碩士 === 國立暨南國際大學 === 資訊工程學系 === 102 === There are many approaches for object recognition in an image, and shape is one of the most important features. However, public available image datasets seldom contain high-quality shape annotations of the objects in the images. Lacking of shape annotations come...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
2014
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| Online Access: | http://ndltd.ncl.edu.tw/handle/07834531791739416115 |