| image-classification-on-caltech-256 | WaveMixLite-256/7 | #4 | Accuracy: 54.62 |
| image-classification-on-cifar-10 | WaveMixLite-144/7 | #88 | Percentage correct: 97.29 |
| image-classification-on-cifar-100 | WaveMixLite-256/7 | #65 | Percentage correct: 85.09 |
| image-classification-on-cifar-100 | WaveMix-Lite-256/7 | #163 | Percentage correct: 70.20 |
| image-classification-on-emnist-balanced | WaveMixLite-128/7 | #3 | Accuracy: 91.06 |
| image-classification-on-emnist-digits | WaveMixLite-112/16 | #2 | Accuracy (%): 99.82 |
| image-classification-on-emnist-letters | WaveMixLite-112/16 | #1 | Accuracy: 95.96 |
| image-classification-on-fashion-mnist | WaveMixLite | #6 | Percentage error: 5.68 |
| image-classification-on-imagenet | WaveMix-192/16 (level 3) | #902 | Top 1 Accuracy: 74.93% |
| image-classification-on-places365-standard | WaveMix-240/12 (level 4) | #4 | Top 1 Accuracy: 56.45 |
| image-classification-on-stl-10 | WaveMixLite-256/7 | #59 | Percentage correct: 70.88 |
| image-classification-on-svhn | WaveMixLite-144/15 | #5 | Percentage error: 1.27 |
| image-classification-on-tiny-imagenet-1 | WaveMixLite-144/7 | #10 | Validation Acc: 77.47% |
| semantic-segmentation-on-cityscapes-val | WaveMix | #30 | mIoU: 82.7 |
| semantic-segmentation-on-cityscapes-val | WaveMix-256/16 (Level-4) | #32 | mIoU: 82.60 |