GitHub dataset

Deployment image for datasets.lib.unb.ca

Yongsheng Bai. Welcome to use this dataset for training when you try to detect surface cracks on buildings and bridges, even on pavement. Please cite the paper if it is helpful for your research. @Article{isprs-annals-V-2-2020-411-2020,AUTHOR = {Bai, Y. and Zha, B. and Sezen, H. and Yilmaz, A.},TITLE = {DEEP CASCADED NEURAL NETWORKS FOR AUTOMATIC DETECTION OF STRUCTURAL DAMAGE AND CRACKS FROM IMAGES},JOURNAL = {ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences},VOLU

A pytorch implementation of ERPP and RMTPP on ATM maintenance dataset. This is a course project for SJTU, CS488 Temporal Point Process Modeling. ERPP reference paper is Modeling the intensity function of point process via recurrent neural networks. (AAAI 2017)

TODO: Write a project description. MIT. See Configuration Reference.

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