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Small object detection encounters various challenges, including low resolution, low contrast, missing visual features, object loss and missed detections, computational efficiency, and data imbalance.
Here are the essential items you should never pack in your checked luggage, and several of them are discounted during the ...
In this paper, we introduce a novel local feature-based hierarchical framework to produce invariant sparse codes for object recognition. In order to enforce the invariant property for each sample ...
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