Image Classification on ImageNet-1K V2 (val)
81.5Top-1 AccMOAT-4
Evaluation results
| Method | Links | |
|---|---|---|
| MOAT-4params=483.2M, input size=512, FLOPs=648.5B, Pre-training=22K + 1K2022.10 | 81.5 | |
| MOAT-3params=190.0M, input size=512, FLOPs=271.0B, Pre-training=22K + 1K2022.10 | 80.6 | |
| MOAT-3params=190.0M, input size=384, FLOPs=141.2B, Pre-training=22K + 1K2022.10 | 80 | |
| MOAT-2params=73.4M, input size=512, FLOPs=104.6B, Pre-training=22K + 1K2022.10 | 79.3 | |
| MOAT-2params=73.4M, input size=384, FLOPs=54.3B, Pre-training=22K + 1K2022.10 | 78.7 | |
| MOAT-3params=190.0M, input size=224, FLOPs=44.9B, Pre-training=22K + 1K2022.10 | 78.4 | |
| MOAT-1params=41.6M, input size=512, FLOPs=58.7B, Pre-training=22K + 1K2022.10 | 78.4 | |
| SwinV2-Lparams=197M, input size=384, FLOPs=115.4B, Pre-training=22K + 1K2022.10 | 78.3 | |
| SwinV2-Bparams=88M, input size=384, FLOPs=54.7B, Pre-training=22K + 1K2022.10 | 78.1 | |
| MOAT-1params=41.6M, input size=384, FLOPs=29.6B, Pre-training=22K + 1K2022.10 | 78.1 | |
| MOAT-3params=190.0M, input size=512, FLOPs=271.0B, Pre-training=1K only2022.10 | 77.8 | |
| MOAT-3params=190.0M, input size=384, FLOPs=141.2B, Pre-training=1K only2022.10 | 77.5 | |
| MOAT-2params=73.4M, input size=512, FLOPs=104.6B, Pre-training=1K only2022.10 | 77.1 | |
| MOAT-1params=41.6M, input size=512, FLOPs=58.7B, Pre-training=1K only2022.10 | 76.8 | |
| MOAT-2params=73.4M, input size=224, FLOPs=17.2B, Pre-training=22K + 1K2022.10 | 76.7 | |
| MOAT-2params=73.4M, input size=384, FLOPs=54.3B, Pre-training=1K only2022.10 | 76.5 | |
| MOAT-0params=27.8M, input size=384, FLOPs=18.2B, Pre-training=22K + 1K2022.10 | 76.4 | |
| MOAT-1params=41.6M, input size=384, FLOPs=29.6B, Pre-training=1K only2022.10 | 76.2 | |
| MOAT-1params=41.6M, input size=224, FLOPs=9.1B, Pre-training=22K + 1K2022.10 | 75.8 | |
| MOAT-3params=190.0M, input size=224, FLOPs=44.9B, Pre-training=1K only2022.10 | 75.5 | |
| MOAT-0params=27.8M, input size=384, FLOPs=18.2B, Pre-training=1K only2022.10 | 74.5 | |
| MOAT-2params=73.4M, input size=224, FLOPs=17.2B, Pre-training=1K only2022.10 | 74.3 | |
| MOAT-1params=41.6M, input size=224, FLOPs=9.1B, Pre-training=1K only2022.10 | 74.2 | |
| MOAT-0params=27.8M, input size=224, FLOPs=5.7B, Pre-training=22K + 1K2022.10 | 74.1 | |
| tiny-MOAT-3params=19.5M, input size=256, FLOPs=6.0B, Pre-training=1K only2022.10 | 72.9 | |
| MOAT-0params=27.8M, input size=224, FLOPs=5.7B, Pre-training=1K only2022.10 | 72.8 | |
| CaiT-S36params=68M, input size=224, FLOPs=13.9B, Pre-training=1K only2022.10 | 72.5 | |
| tiny-MOAT-3params=19.5M, input size=224, FLOPs=4.5B, Pre-training=1K only2022.10 | 72.1 | |
| DeiT-Bparams=86M, input size=224, FLOPs=17.5B, Pre-training=1K only2022.10 | 71.5 | |
| tiny-MOAT-2params=9.8M, input size=256, FLOPs=3.0B, Pre-training=1K only2022.10 | 70.9 | |
| tiny-MOAT-2params=9.8M, input size=224, FLOPs=2.3B, Pre-training=1K only2022.10 | 70.1 | |
| LeViT-256params=18.9M, input size=256, FLOPs=1.1B, Pre-training=1K only2022.10 | 70 | |
| tiny-MOAT-1params=5.1M, input size=256, FLOPs=1.6B, Pre-training=1K only2022.10 | 68.2 | |
| tiny-MOAT-1params=5.1M, input size=224, FLOPs=1.2B, Pre-training=1K only2022.10 | 67.3 | |
| tiny-MOAT-0params=3.4M, input size=224, FLOPs=0.8B, Pre-training=1K only2022.10 | 64.3 |