Evaluation Results on Eyecandies Dataset #6
Description
I have conducted an evaluation of your model on a new dataset, Eyecandies. I deeply appreciate the valuable contribution you have made. Below are the detailed evaluation results:
config
n_views: 27
no_fpfh: False
use_rgb: False
exp_name: UNIFORM_resnet18_27_fpfh
backbone: resnet18
| CandyCane | ChocolateCookie | ChocolatePraline | Confetto | GummyBear | HazelnutTruffle | LicoriceSandwich | Lollipop | Marshmallow | PeppermintCandy | average | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| I-AUROC | 77.28 | 79.52 | 75.04 | 84.64 | 74.04 | 58.40 | 74.56 | 81.99 | 71.04 | 81.28 | 75.779 |
| P-AUROC | 98.72 | 93.09 | 89.93 | 95.04 | 90.09 | 86.86 | 92.81 | 98.39 | 90.51 | 92.65 | 92.809 |
| AUPRO | 94.07 | 75.61 | 58.44 | 79.53 | 72.84 | 56.14 | 67.91 | 90.83 | 69.60 | 78.38 | 74.335 |
These results highlight the strengths and areas for improvement in your model when applied to the Eyecandies dataset. Your work has significantly contributed to advancing the understanding and performance of models in this domain.
Thank you once again for your hard work and dedication to this project.