Junzhi Zhai
- (2023): Feature representation improved Faster R-CNN model for high efficiency pavement crack detection. In: Canadian Journal of Civil Engineering / Revue canadienne de génie civil, v. 50, n. 2 (February 2023).
- (2020): CrackU-net: A novel deep convolutional neural network for pixelwise pavement crack detection. In: Structural Control and Health Monitoring, v. 27, n. 8 (7 July 2020).
- (2019): Detection of sealed and unsealed cracks with complex backgrounds using deep convolutional neural network. In: Automation in Construction, v. 107 (November 2019).
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