Analyzing Gender Bias in Pose Estimation Models
From ISLAB/CAISR
Jump to navigationJump to search
| Title | Analyzing Gender Bias in Pose Estimation Models |
|---|---|
| Summary | We will analyze the gender bias of current pose estimation models when trained with unbalanced gender data |
| Keywords | |
| TimeFrame | |
| References | |
| Prerequisites | |
| Author | |
| Supervisor | Kevin Hernandez Diaz |
| Level | Bachelor |
| Status | Open |
The idea is to use out-of-the-box pose estimation models and train them from scratch with different levels of gender representations in the data.
Then we will analyze the deviation from the ground truth based on gender.
Finally, we will analyze some basic statistics on the estimated pseudoesqueleton based on gender.