Mars Image Content Classification: Three Years of NASA Deployment and Recent Advances

The comparison and evaluation of forecasters

DeGroot, M. H.; and Fienberg, S. E. 1983 · 1983

Earlier work this paper cites.

A metric for distributions with applications to image databases

Rubner, Y.; Tomasi, C.; and Guibas, L. J. 1998 · 1998

Earlier work this paper cites.

Probabilistic outputs for support vector machines and comparisons to regularized likelihood methods

Platt, J.; et al. 1999 · 1999

Earlier work this paper cites.

Predicting good probabilities with supervised learning

Niculescu-Mizil, A.; and Caruana, R. 2005 · 2005

Earlier work this paper cites.

Mars Reconnaissance Orbiter’s High Resolution Imaging Science Experiment (HiRISE)

McEwen, A. S.; Eliason, E. M.; Bergstrom, J. W.; Bridges, N. T.; Hansen, C. J.; Delamere, W. A.; Grant, J. A.; Gulick, V. A.; Herkenhoff, K. E.; Keszthelyi, L.; Kirkand, R. L.; Mellon, M. T.; Squyres, S. W.; Thomas, N.; and Weitz, C. M. 2007 · 2007

Earlier work this paper cites.

Mars Science Laboratory mission and science investigation

Grotzinger, J. P.; Crisp, J.; Vasavada, A. R.; Anderson, R. C.; Baker, C. J.; Barry, R.; Blake, D. F.; Conrad, P.; Edgett, K. S.; Ferdowski, B.; Gellert, R.; Gilbert, J. B.; Golombek, M.; Gómez-Elvira, J.; Hassler, D. M.; Jandura, L.; Litvak, M.; Mahaffy, P.; Maki, J.; Meyer, M.; Malin, M. C.; Mitrofanov, I.; Simmonds, J. J.; Vaniman, D.; Welch, R. V.; and Wiens, R. C. 2012 · 2012

Earlier work this paper cites.

ImageNet classification with deep convolutional neural networks

Krizhevsky, A.; Sutskever, I.; and Hinton, G. E. 2012 · 2012

Earlier work this paper cites.

Dynamic landmarking for surface feature identification and change detection

Wagstaff, K. L.; Panetta, J.; Ansar, A.; Greeley, R.; Hoffer, M. P.; Bunte, M.; and Schorghofer, N. 2012 · 2012

Earlier work this paper cites.

Guiding scientific discovery with explanations using DEMUD

Wagstaff, K. L.; Lanza, N. L.; Thompson, D. R.; Dietterich, T. G.; and Gilmore, M. S. 2013 · 2013

Cited alongside, same era.

Caffe: Convolutional Architecture for Fast Feature Embedding

Original

Jia, Y.; Shelhamer, E.; Donahue, J.; Karayev, S.; Long, J.; Girshick, R.; Guadarrama, S.; and Darrell, T. 2014 · 2014

Cited alongside, same era.

SPOC: Deep learning-based terrain classification for Mars rover missions

Rothrock, B.; Kennedy, R.; Cunningham, C.; Papon, J.; Heverly, M.; and Ono, M. 2016 · 2016

Cited alongside, same era.

On calibration of modern neural networks

Guo, C.; Pleiss, G.; Sun, Y.; and Weinberger, K. Q. 2017 · 2017

Cited alongside, same era.

Automated detection of geological landforms on Mars using Convolutional Neural Networks

Palafox, L. F.; Hamilton, C. W.; Scheidt, S. P.; and Alvarez, A. M. 2017 · 2017

Cited alongside, same era.

Improved content-based image classifiers for the PDS Image Atlas

Lu, S.; Wagstaff, K. L.; Cai, J.; Doran, G.; Grimes, K.; Lee, J.; Mandrake, L.; and Yue., Y. 2019 · 2019

Later among the works it cites.

Maximum likelihood with bias-corrected calibration is hard-to-beat at label shift adaptation

Alexandari, A.; Kundaje, A.; and Shrikumar, A. 2020 · 2020

Later among the works it cites.

Identifying community needs for a Mars Exploration Rovers (MER) Data Catalog

Cole, S. B.; Aubele, J. C.; Cohen, B. A.; Milkovich, S. M.; and Shields, S. R. 2020 · 2020

Later among the works it cites.

Mars orbital image (HiRISE) labeled data set, version 3.2.0

Doran, G.; Dunkel, E.; Lu, S.; and Wagstaff, K. 2020 · 2020

Later among the works it cites.

MSL Curiosity rover images with science and engineering classes, version 2.1.0

Lu, S.; and Wagstaff, K. L. 2020 · 2020

Later among the works it cites.