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

CVPR 2014 Xianjie ChenRoozbeh MottaghiXiaobai LiuSanja FidlerRaquel UrtasunAlan Yuille

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 iii) detect them when their body parts are hard to detect (e.g., animals depicted at low resolution)... (read more)

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