Image Classification on ImageNet-1K 1.0 (val) (Top-1 Accuracy, Throughput by Batch Size, and Memory)
199Throughput (A100, B=1)AsCAN-T
Evaluation Results
| Method | Links | |||||||
|---|---|---|---|---|---|---|---|---|
| AsCAN-TResolution=224, Params=55M, MACs=7.7G2024.11 | 199 | 3,224 | 4,295 | 67 | 1,148 | 83.44 | 9.6 | |
| MOAT-2Resolution=224, Params=73M, MACs=17.2G2024.11 | 132 | 1,367 | 2,087 | 38 | 424 | 84.7 | 31.8 | |
| AsCAN-LResolution=224, Params=173M, MACs=30.7G2024.11 | 120 | 1,381 | 1,617 | 40 | 440 | 85.24 | 21.2 | |
| AsCAN-BResolution=224, Params=98M, MACs=16.7G2024.11 | 113 | 1,878 | 2,393 | 38 | 590 | 84.73 | 15.2 | |
| RDNet-SResolution=224, Params=50M, MACs=8.7G2024.11 | 102 | 1,782 | 2,761 | 53 | 780 | 83.7 | 12.6 | |
| MogaNet-SResolution=224, Params=25M, MACs=5.0G2024.11 | 93 | 1,593 | 2,455 | 47 | 740 | 83.4 | 17.1 | |
| RDNet-BResolution=224, Params=87M, MACs=15.4G2024.11 | 80 | 1,578 | 1,891 | 48 | 589 | 84.4 | 17.5 | |
| RDNet-LResolution=224, Params=186M, MACs=34.7G2024.11 | 78 | 640 | 990 | 32 | 290 | 84.8 | 26.2 | |
| MOAT-3Resolution=224, Params=190M, MACs=44.9G2024.11 | 70 | 805 | 962 | 21 | 246 | 85.3 | 65.2 | |
| BiFormer-BResolution=224, Params=57M, MACs=9.8G2024.11 | 50 | 840 | 1,439 | 28 | 440 | 84.3 | 27.9 | |
| RMT-SResolution=224, Params=27M, MACs=4.5G2024.11 | 46 | 790 | 2,439 | 38 | 480 | 84.1 | 13.7 | |
| BiFormer-SResolution=224, Params=26M, MACs=4.5G2024.11 | 45 | 937 | 2,139 | 36 | 595 | 83.8 | 18.6 | |
| SMT-SResolution=224, Params=21M, MACs=4.7G2024.11 | 38 | 566 | 2,211 | 43 | 348 | 83.7 | 13.5 | |
| MogaNet-LResolution=224, Params=83M, MACs=15.9G2024.11 | 34 | 523 | 882 | 24 | 290 | 84.7 | 46.6 | |
| MogaNet-XLResolution=224, Params=181M, MACs=34.5G2024.11 | 32 | 471 | 576 | 19 | 210 | 85.1 | 74.9 | |
| SMT-BResolution=224, Params=32M, MACs=7.7G2024.11 | 27 | 388 | 1,412 | 14 | 243 | 84.3 | 22.6 |