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The goal of this paper is to serve as a guide for selecting a detection architecture that achieves the right speed/memory/accuracy balance for a given application and platform.
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Ms coco api
T. Y. Lin and P. Dollar · 2016
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Feature pyramid networks for object detection
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Imagenet large scale visual recognition challenge
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Contextual priming and feedback for faster r-cnn
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Training region-based object detectors with online hard example mining
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Craft objects from images
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