Latest revision as of 23:51, 13 December 2020

Final Replication Checkpoint

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

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

@@ Line 5: / Line 5: @@
 ==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:
-* Summary of replication result
+* A title for your report
-** Include at least two images: one in which the classification works well and the GradCAM images confirm it. And one where the classification is wrong and GradCAM helps to know why.
+* Your team members' names
-* Shortcomings
+* Summarize your replication result
-* Possible improvements
+** Include at least six images with heatmaps: three with correct predictions and three with incorrect predictions.
-* Conclusions
+* 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 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 Use this code as a basis]
+* You can [https://github.com/jacobgil/pytorch-grad-cam use this code as a basis].