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Found 3 papers, 1 papers with code
Outliagnostics: Visualizing Temporal Discrepancy in Outlying Signatures of Data Entries
This paper presents an approach to analyzing two-dimensional temporal datasets focusing on identifying observations that are significant in calculating the outliers of a scatterplot.
Road Damage Detection and Classification with Detectron2 and Faster R-CNN
The results show that the X101-FPN base model for Faster R-CNN with Detectron2's default configurations are efficient and general enough to be transferable to different countries in this challenge.
Road Damages Detection and Classification with YOLOv7
The results show that the data collection from Google Street View is efficient, and the proposed deep learning approach results in F1 scores of 81. 7% on the road damage data collected from the United States using Google Street View and 74. 1% on all test images of this dataset.
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