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Mars Spectrometry 2: Gas Chromatography -- Second place solution

arXiv 2403.15990 ↗First posted 24 Mar 2024cs.CVcited by 0

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Abstract (arXiv)

The Mars Spectrometry 2: Gas Chromatography challenge was sponsored by NASA and run on the DrivenData competition platform in 2022. This report describes the solution which achieved the second-best score on the competition's test dataset. The solution utilized two-dimensional, image-like representations of the competition's chromatography data samples. A number of different Convolutional Neural Network models were trained and ensembled for the final submission.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 6 of its 12 references that are in the map. First posted on arXiv 24 Mar 2024.

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References · 6

  1. 2019PyTorch: An Imperative Style, High-Performance Deep Learning Librarycited by 20,160
  2. 2017mixup: Beyond Empirical Risk Minimizationcited by 5,155
  3. 2019Deep High-Resolution Representation Learning for Visual Recognitioncited by 1,417
  4. 2020Designing Network Design Spacescited by 954
  5. 2017Grad-CAM++: Improved Visual Explanations for Deep Convolutional Networkscited by 936
  6. 2017Dual Path Networkscited by 119

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