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'Part'ly first among equals: Semantic part-based benchmarking for state-of-the-art object recognition systems
Our results show that the proposed benchmarking procedure enables additional differentiation among state-of-the-art object classifiers in terms of their ability to handle missing content and insufficient object detail.
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