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Dsod: Learning Deeply Supervised Object Detectors From Scratch

2017 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV), no. 1 (2017): 1937-1945

Cited: 526|Views205
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Abstract

We present Deeply Supervised Object Detector (DSOD), a framework that can learn object detectors from scratch. State-of-the-art object objectors rely heavily on the off-the-shelf networks pre-trained on large-scale classification datasets like ImageNet, which incurs learning bias due to the difference on both the loss functions and the ca...More

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