Difference between revisions of "DSC180F20W10"
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==Report== | ==Report== | ||
| − | Write a 3-6 pages long report on your final replication project. Include the following components: | + | 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 | * Summarize your replication result | ||
** Include at least six images with heatmaps: three with correct predictions and three with incorrect predictions. | ** Include at least six images with heatmaps: three with correct predictions and three with incorrect predictions. | ||
| Line 15: | Line 17: | ||
==Code== | ==Code== | ||
| − | * Develop functional Grad-CAM code which uses the COCO data set | + | * Develop functional Grad-CAM code which uses the COCO data set. |
| − | * Develop code that generates an analysis and figures for results | + | * Develop code that generates an analysis and figures for results. |
| − | * [https://github.com/jacobgil/pytorch-grad-cam | + | * 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.
