Image Classification on Sketches
80.68AccuracyIndividual
Evaluation results
| Method | Links | ||
|---|---|---|---|
| IndividualBackbone=DeiT-S2022.03 | 80.68 | — | |
| MEATBackbone=DeiT-S2022.03 | 76.68 | — | |
| IndividualBackbone=T2T-ViT-122022.03 | 76.6 | — | |
| PiggybackBackbone=DeiT-S2022.03 | 75.03 | — | |
| HATBackbone=DeiT-S2022.03 | 74.97 | — | |
| MEATBackbone=T2T-ViT-122022.03 | 74.75 | — | |
| Adaptor-BBackbone=T2T-ViT-122022.03 | 74.02 | — | |
| IndividualBackbone=DeiT-Ti2022.03 | 73.5 | — | |
| PiggybackBackbone=T2T-ViT-122022.03 | 73.07 | — | |
| Adaptor-BBackbone=DeiT-S2022.03 | 72.87 | — | |
| HATBackbone=T2T-ViT-122022.03 | 71.29 | — | |
| LwFBackbone=DeiT-S2022.03 | 70.74 | — | |
| MEATBackbone=DeiT-Ti2022.03 | 70.73 | — | |
| Adaptor-BBackbone=DeiT-Ti2022.03 | 69.21 | — | |
| PiggybackBackbone=DeiT-Ti2022.03 | 69.07 | — | |
| HATBackbone=DeiT-Ti2022.03 | 65.49 | — | |
| LwFBackbone=T2T-ViT-122022.03 | 61.98 | — | |
| Tmax-pooling dilation=12026.01 | 54.5 | — | |
| Smaxpoolmax-pooling dilation=2, convolutional weights=frozen2026.01 | 53.6 | — | |
| LwFBackbone=DeiT-Ti2022.03 | 53.17 | — | |
| ClassifierBackbone=DeiT-S2022.03 | 39.8 | — | |
| ClassifierBackbone=DeiT-Ti2022.03 | 30.64 | — | |
| ClassifierBackbone=T2T-ViT-122022.03 | 18.79 | — |