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Found 4 papers, 1 papers with code
Pooling Pyramid Network for Object Detection
We share box predictors across all scales, and replace convolution between scales with max pooling.
Multiple Instance Curriculum Learning for Weakly Supervised Object Detection
When supervising an object detector with weakly labeled data, most existing approaches are prone to trapping in the discriminative object parts, e. g., finding the face of a cat instead of the full body, due to lacking the supervision on the extent of full objects.
Do We Need More Training Data?
Datasets for training object recognition systems are steadily increasing in size.
Capturing Long-tail Distributions of Object Subcategories
We argue that object subcategories follow a long-tail distribution: a few subcategories are common, while many are rare.
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