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Part based object detection with a flexible context constraint Supporting object detection with easy context Diploma thesis by Karl Robert Biel from BerlinWilmersdorf June 2013Fachbereich Informatic GraphischInteraktive

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What is part based object detection?

Part based object detection is a technique in computer vision where objects are detected by identifying and localizing their parts.

Who is required to file part based object detection?

Researchers, engineers, or developers working on object detection projects may be required to use part based object detection in their work.

How to fill out part based object detection?

Part based object detection can be filled out by training a model to recognize the parts of an object and then using those parts to detect the object in an image or video.

What is the purpose of part based object detection?

The purpose of part based object detection is to improve the accuracy and robustness of object detection by focusing on the distinctive parts of an object.

What information must be reported on part based object detection?

Information such as the parts of the object, their locations, and their relationships to each other must be reported on part based object detection.

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