Small object detection encounters various challenges, including low resolution, low contrast, missing visual features, object loss and missed detections, computational efficiency, and data imbalance.

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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 ...