Detect What You Can: Detecting and Representing Objects using Holistic Models and Body Parts

Detect What You Can: Detecting and Representing Objects using Holistic Models and Body Parts

Detecting objects becomes difficult when we need to deal with large shape deformation, occlusion and low resolution. We propose a novel approach to i) handle large deformations and partial occlusions in animals (as examples of highly deformable objects), ii) describe them in terms of body parts, and...

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Bibliographic Details
Main Authors: Chen, Xianjie, Mottaghi, Roozbeh, Liu, Xiaobai, Fidler, Sanja, Urtasun, Raquel, Yuille, Alan L.
Format: Technical Report
Language:en_US
Published: Center for Brains, Minds and Machines (CBMM), arXiv 2015
Subjects:
Object Recognition
Machine Learning
Artificial Intelligence
Online Access:http://hdl.handle.net/1721.1/100179

Internet

http://hdl.handle.net/1721.1/100179

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