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Jan, 2019
一次检测的稳定优化
Consistent Optimization for Single-Shot Object Detection
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Tao Kong, Fuchun Sun, Huaping Liu, Yuning Jiang, Jianbo Shi
TL;DR
研究提出了单阶段目标检测的一致优化方法,通过利用训练过程中的改进型anchors匹配检测假设和推理质量,实现性能提升,在COCO数据集上,优化后的RetinaNet性能从39.1 AP提升到40.1 AP。
Abstract
We present
consistent optimization
for
single stage object detection
. Previous works of single stage object detectors usually rely on the regular, dense sampled anchors to generate hypothesis for the optimization
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