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Learning To Count Objects in Images
Victor Lempitsky
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Oznake: computer science;machine learning;supervised learning;computer vision;object recognition
We propose a new supervised learning framework for visual object counting tasks, such as estimating the number of cells in a microscopic image or the number of humans in surveillance video frames. We focus on the practically-attractive case when the training images are annotated with dots (one dot p ...
Leto: 2010 Vir: videolectures.net
Poster Spotlights
Xianghua Ying , Paolo Favaro , Jennifer Dolson , Tomoaki Higo , Shengqi Zhu , Yan Cui , William Smith , Jordi Sanchez-Riera , Victor Lempitsky , Michael S. Brown , Masaki Yamazaki , Appu Shaji , Cong Phuoc Huynh , Yi Xu , Aswin Sankaranarayanan , Beyang Liu , Jean-Philippe Pons
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Oznake: computer science;computer vision;shape from x
Leto: 2010 Vir: videolectures.net
Št. zadetkov: 2
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