brobeson
commented
7 years ago - [x] The paper name, authors, publication source, publication year, and URL of the paper.
- [x] The problem that you will be investigating. Why is the investigated problem interesting? Why is the investigated problem challenging?
- [x] Which image or video data will you use? If you are collecting new datasets which are COMPATIBLE with the dataset(s) used in the paper, how do you plan to collect them?
- [x] The algorithmic overview of the approach proposed in the paper. That is, based on your algorithmic overview, I should be able to understand at least the following: the major components of the approach, the functionality of each component, the input/output of each component, the method(s) deployed in each component, and the connections among these components.
- [x] How do you use the proposed approach? How do you plan to improve or modify the proposed approach? Do you plan to use any software package? If so, please provide the detailed information about the potential software package(s).
- [x] Any assumptions made in the paper.
- [x] How will you evaluate your results? Qualitatively, what kind of results do you expect (e.g., what kind of plots or figures do you want to see?)? Quantitatively, what kind of analysis will you use to evaluate and/or compare your results (e.g., what kind of performance metrics? statistical tests? etc.).
- [x] Your weekly schedule for working on the project.
- Week 1: Nov. 20 – Nov. 26
- Week 2: Nov. 27 – Dec. 3
- Week 3: Dec. 4 – Dec. 10 (Note: Each student is required to submit weekly accomplishment via Canvas. In this way, I know that each of you did work on the project weekly instead of working on the project in the last week.)
- [x] Any additional information.