Prime Sample Attention in Object Detection
CVPR 2020, 2019.
We present PrIme Sample Attention, a simple and effective sampling and learning strategy to highlight important samples
It is a common paradigm in object detection frameworks to treat all samples equally and target at maximizing the performance on average. In this work, we revisit this paradigm through a careful study on how different samples contribute to the overall performance measured in terms of mAP. Our study suggests that the samples in each mini-ba...More
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