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Object Detection via End-to-End Integration of Aspect Ratio and Context Aware Part-based Models and Fully Convolutional Networks.

arXiv: Computer Vision and Pattern Recognition, (2016)

Cited by: 5|Views16
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Abstract

This paper presents a framework of integrating a mixture of part-based models and region-based convolutional networks for accurate and efficient object detection. Each mixture component consists of a small number of parts accounting for both object aspect ratio and contextual information explicitly. The mixture is category-agnostic for th...More

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Author
Lun Zhang
Lun Zhang
Rufeng Chu
Rufeng Chu
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