| image-classification-on-clothing1m | InstanceGM | #17 | Accuracy: 74.40% |
| image-classification-on-red-miniimagenet-20 | InstanceGM-SS | #3 | Accuracy: 60.89 |
| image-classification-on-red-miniimagenet-20 | InstanceGM | #4 | Accuracy: 58.38 |
| image-classification-on-red-miniimagenet-40 | InstanceGM-SS | #2 | Accuracy: 56.37 |
| image-classification-on-red-miniimagenet-40 | InstanceGM | #4 | Accuracy: 52.24 |
| image-classification-on-red-miniimagenet-60 | InstanceGM-SS | #1 | Accuracy: 53.21 |
| image-classification-on-red-miniimagenet-60 | InstanceGM | #3 | Accuracy: 47.96 |
| image-classification-on-red-miniimagenet-80 | InstanceGM-SS | #2 | Accuracy: 44.03 |
| image-classification-on-red-miniimagenet-80 | InstanceGM | #4 | Accuracy: 39.62 |
| learning-with-noisy-labels-on-animal | InstanceGM with ConvNeXt | #11 | Accuracy: 84.7Network: ConvNeXtImageNet Pretrained: NO |
| learning-with-noisy-labels-on-animal | InstanceGM | #12 | Accuracy: 84.6Network: Vgg19-BNImageNet Pretrained: NO |
| learning-with-noisy-labels-on-animal | InstanceGM with ResNet | #15 | Accuracy: 82.3Network: ResNetImageNet Pretrained: NO |
| learning-with-noisy-labels-on-red | InstanceGM-SS | #3 | Test Accuracy: 60.89 |
| learning-with-noisy-labels-on-red | InstanceGM | #4 | Test Accuracy: 58.38 |
| learning-with-noisy-labels-on-red-1 | InstanceGM-SS | #3 | Test Accuracy: 56.37 |
| learning-with-noisy-labels-on-red-1 | InstanceGM | #4 | Test Accuracy: 52.24 |
| learning-with-noisy-labels-on-red-2 | InstanceGM-SS | #1 | Test Accuracy: 53.21 |
| learning-with-noisy-labels-on-red-2 | InstanceGM | #3 | Test Accuracy: 47.96 |
| learning-with-noisy-labels-on-red-3 | InstanceGM-SS | #2 | Test Accuracy: 44.03 |
| learning-with-noisy-labels-on-red-3 | InstanceGM | #4 | Test Accuracy: 39.62 |