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Describing People: A Poselet-Based Approach to Attribute Classification

Describing People: A Poselet-Based Approach to Attribute Classification. Lubomir Bourdev 1,2 Subhransu Maji 1 Jitendra Malik 1 1 EECS U.C. Berkeley 2 Adobe Systems Inc. Goal: Extract attributes from images of people. Who has long hair?. Who has short pants?.

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771 views • 62 slides

Semantic Contours from Inverse detectors

Semantic Contours from Inverse detectors. Outline . Introduction Inverse detector Localizing semantic contours Experiments Conclusion. Localizing and classifying category-specific object contours in real world images. Low-level contours (No-class specific). Problem.

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304 views • 20 slides

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Semantic contours - PowerPoint PPT Presentation

Describing People: A Poselet-Based Approach to Attribute Classification

Semantic Contours from Inverse detectors