菜鸟实习日记~day23(NUIST 2016)

文章方法:

1.Classification Model:Google net(smaller and faster) 相比较于VGG

2.使用Cascade Region Regression

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(1)Increase the variation of initialization during training.

(2)Augment training data by removing 0.7 NMS step around GT after RPN.

3.Tracking:使用相关滤波

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4.同时也考虑了上下文的重要性

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