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Transfer Learning by Ranking for Weakly Supervised Object Annotation
Published on Oct 09, 20123685 Views
Most existing approaches to training object detectors rely on fully supervised learning, which requires the tedious manual annotation of object location in a training set. Recently there has been an
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Transfer Learning by Ranking for Weakly Supervised Object Annotation00:00
Object Detection00:19
Existing Work for Object Detection00:58
Weakly Supervised Learning02:33
Existing Work for WSL03:23
Saliency [B.Alexe, CVPR 2010]03:38
Inter-class [T.Deselaers ECCV’10 , P.Siva ICCV’11] (1)04:27
Inter-class [T.Deselaers ECCV’10 , P.Siva ICCV’11] (2)06:12
Motivation07:14
Our approach: Transfer Laearning (TL)08:06
Transferrable Knowledge09:39
Annotating12:31
Ground Truth Approximation (1)12:45
Ground Truth Approximation (2)13:04
Proposed Approach13:24
Experiments (1)13:45
Experiments (2)14:13
Experiments (3)15:53
Experiments (4)16:04
Summary16:20
Thank you!16:56