This paper presents a hard example mining algorithm to train the end-to-end deep convolutional neural network for airport detection in complex situation.

This paper presents a hard example mining algorithm to train the end-to-end deep convolutional neural network for airport detection in complex situation.

The authors of this work proposed a method of mining difficult samples to train the end-to-end deep convolutional neural network for airport detection in ...

Training deep convolution neural network with hard example mining for airport detection. Bowen Cai, Zhiguo Jiang, Haopeng Zhang, Yuan Yao, Jie Huang.

In this paper, we develop a hard example mining and weight-balanced strategy to construct a novel end-to-end convolutional neural network for airport detection.

In this study, to improve the detection rate (DR) and error reduction rate (ERR) in open-world remote sensing airport detection, we constructed a two-stage ...

Nov 18, 2017 · In this paper, we develop a hard example mining and weight-balanced strategy to construct a novel end-to-end convolutional neural network for ...

The method proposed in this paper can not only discover the causal relationship of delays between airports but also characterize the strength of the ...

Then, the idea of hard example mining is introduced to improve the ability to discriminate objects and make the training more efficient. Finally, the ...

Training deep convolution neural network with hard example mining for airport detection · End-to-End Airport Detection in Remote Sensing Images Combining Cascade ...