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Automatic data extraction from charts is challenging for two reasons: there exist many relations among objects in a chart, which is not a common consideration in general computer vision problems; and different types of charts may not be processed by the same model.
Hough-based model for recognizing bar charts in document images
Zhou, Y. and Tan, C.L · 2000
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Connectionist temporal classification: labelling unsegmented sequence data with recurrent neural networks
Graves, A., Fernández S. Gomez F. and Schmidhuber, J · 2006
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A system for understanding imaged infographics and its applications
Huang, W. and Tan, C.L · 2007
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Classifying computer generated charts
Prasad, V. S. N., Siddiquie, B., Golbeck, J., and Davis, L. S · 2007
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Revision: Automated classification, analysis and redesign of chart images
Savva, M., Kong, N., Chhajta, A., Fei-Fei, L., Agrawala, M., and Heer, J · 2011
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Imagenet classification with deep convolutional neural networks
Krizhevsky, A., Sutskever, I., and Hinton, G.E · 2012
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Very deep convolutional networks for large-scale image recognition
Simonyan, K. and Zisserman, A · 2012
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Rich feature hierarchies for accurate object detection and semantic segmentation
Girshick, R., Donahue J. Darrell T. and Malik, J · 2014
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Fast R-CNN
Girshick, R · 2015
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Spatial transformer networks
Jaderberg, M., Simonyan K. and Zisserman, A · 2015
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Faster R-CNN: Towards real-time object detection with region proposal networks
Ren, S., He K. Girshick R. and Sun, J · 2015
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Deep residual learning for image recognition
He, K., Zhang X. Ren S. and Sun, J · 2016
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SSD: Single shot multibox detector
Liu, W., Anguelov D. Erhan D. Szegedy C. Reed S. Fu C.Y. and Berg, A.C · 2016
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You only look once: Unified, real-time object detection
Redmon, J., Divvala S. Girshick R. and Farhadi, A · 2016
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Figureseer: Parsing result-figures in research papers
Detecting text in natural image with connectionist text proposal network
Tian, Z., Huang W. He T. He P. and Qiao, Y · 2016
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Scatteract: Automated extraction of data from scatter plots
Cliche, M., Rosenberg D. Madeka D. and Yee, C · 2017
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Speed/accuracy trade-offs for modern convolutional object detectors
Huang, J., Rathod V. Sun C. Zhu M. Korattikara A. Fathi A. Fischer I. Wojna Z. Song Y. Guadarrama S. and Murphy, K · 2017
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Figureqa: An annotated figure dataset for visual reasoning
Kahou, S.E., Atkinson A. Michalski V. Kádár Ã. Trischler A. and Bengio, Y · 2017
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Reverse-â€engineering visualizations: Recovering visual encodings from chart images
Poco, J. and Heer, J · 2017
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Siegel, N., Horvitz Z. Levin R. Divvala S. and Farhadi, A · 2016
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End-to-end people detection in crowded scenes
Stewart, R., Andriluka M. and Ng, A.Y · 2016
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A simple neural network module for relational reasoning
Santoro, A., Raposo D. Barrett D.G. Malinowski M. Pascanu R. Battaglia P. and Lillicrap, T · 2017
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Detecting oriented text in natural images by linking segments
Shi, B., Bai X. and Belongie, S · 2017
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An end-to-end trainable neural network for image-based sequence recognition and its application to scene text recognition
Shi, B., Bai X. and Yao, C · 2017
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