Difference between revisions of "DSC180F20W10"

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=Final Replication Checkpoint=
 
=Final Replication Checkpoint=
  
UNDER CONSTRUCTION
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The goal of the final project is to apply the Grad-CAM algorithm to the COCO dataset.
  
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==Report==
 
==Report==
  
* Summary of replication result
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Write a 3-6 pages long report on your final replication project. Include at least the following components:
* Shortcomings
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* Possible improvements
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* A title for your report
* Conclusions
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* Your team members' names
 +
* Summarize your replication result
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** Include at least six images with heatmaps: three with correct predictions and three with incorrect predictions.
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* Discuss shortcomings of your approach
 +
* List possible improvements
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* Conclusions: summarize what you learned from the project
  
 
==Code==
 
==Code==
  
* Develop functional Grad-CAM code which uses the COCO data set
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* Develop functional Grad-CAM code which uses the COCO data set.
* Develop code that generates analysis/figures for results
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* Develop code that generates an analysis and figures for results.
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* You can [https://github.com/jacobgil/pytorch-grad-cam use this code as a basis].

Latest revision as of 22:51, 13 December 2020

Final Replication Checkpoint

The goal of the final project is to apply the Grad-CAM algorithm to the COCO dataset.

Report

Write a 3-6 pages long report on your final replication project. Include at least the following components:

  • A title for your report
  • Your team members' names
  • Summarize your replication result
    • Include at least six images with heatmaps: three with correct predictions and three with incorrect predictions.
  • Discuss shortcomings of your approach
  • List possible improvements
  • Conclusions: summarize what you learned from the project

Code

  • Develop functional Grad-CAM code which uses the COCO data set.
  • Develop code that generates an analysis and figures for results.
  • You can use this code as a basis.