Object Detection from Scratch with Deep Supervision

25 Sep 2018Zhiqiang ShenZhuang LiuJianguo LiYu-Gang JiangYurong ChenXiangyang Xue

We propose Deeply Supervised Object Detectors (DSOD), an object detection framework that can be trained from scratch. Recent advances in object detection heavily depend on the off-the-shelf models pre-trained on large-scale classification datasets like ImageNet and OpenImage... (read more)

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