Difference between revisions of "DSC180F20W2"
From Immersive Visualization Lab Wiki
(Created page with "=Reading= The concept of saliency maps is going to be crucial to understand our replication paper. To get up to speed on these concepts, read the paper [https://arxiv.org/p...") |
(→Reading) |
||
| Line 1: | Line 1: | ||
| − | =Reading= | + | ==Reading== |
The concept of saliency maps is going to be crucial to understand our replication paper. | The concept of saliency maps is going to be crucial to understand our replication paper. | ||
To get up to speed on these concepts, read the paper [https://arxiv.org/pdf/1312.6034.pdf Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps]. | To get up to speed on these concepts, read the paper [https://arxiv.org/pdf/1312.6034.pdf Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps]. | ||
| + | |||
| + | ==Questions== | ||
Answer the following questions: | Answer the following questions: | ||
Revision as of 00:33, 7 October 2020
Reading
The concept of saliency maps is going to be crucial to understand our replication paper.
To get up to speed on these concepts, read the paper Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps.
Questions
Answer the following questions:
- What is a saliency map?
- How is the saliency map obtained?
- What can a saliency map be used for?
- Which image data base did the authors of the paper use for training and inference?
