Image Classification on ImageNet-1k 1.0 (val) (Accuracy)
0.848Top-1 AccuracyAdventurer-Base/P8
Evaluation Results
| Method | Links | |
|---|---|---|
| Adventurer-Base/P8Token mixer=Mamba, Input size=448, Parameters=100M, Throughput (↑)=57, Memory (↓)=>80G2024.10 | 0.848 | |
| MambaReg-LToken mixer=Mamba, Input size=384, Parameters=342M, Throughput (↑)=23, Memory (↓)=>80G2024.10 | 0.845 | |
| Adventurer-BaseToken mixer=Mamba, Input size=448, Parameters=99M, Throughput (↑)=216, Memory (↓)=45.2G2024.10 | 0.843 | |
| MambaReg-BToken mixer=Mamba, Input size=384, Parameters=99M, Throughput (↑)=63, Memory (↓)=51.4G2024.10 | 0.843 | |
| EfficientNet-B7Token mixer=2D Conv., Input size=560, Parameters=66M, Throughput (↑)=61, Memory (↓)=>80G2024.10 | 0.843 | |
| DeiT-Base/P14 (our impl.)Token mixer=Self-Attention, Input size=560, Parameters=87M, Throughput (↑)=41, Memory (↓)=>80G2024.10 | 0.84 | |
| VMamba-BToken mixer=Mamba + 2D Conv., Input size=224, Parameters=89M, Throughput (↑)=246, Memory (↓)=37.1G2024.10 | 0.839 | |
| ConvNeXt-BToken mixer=2D Conv., Input size=224, Parameters=89M, Throughput (↑)=305, Memory (↓)=17.9G2024.10 | 0.838 | |
| MambaReg-LToken mixer=Mamba, Input size=224, Parameters=341M, Throughput (↑)=67, Memory (↓)=55.5G2024.10 | 0.836 | |
| DeiT-Base/P14 (our impl.)Token mixer=Self-Attention, Input size=448, Parameters=86M, Throughput (↑)=86, Memory (↓)=>80G2024.10 | 0.835 | |
| Adventurer-LargeToken mixer=Mamba, Input size=224, Parameters=346M, Throughput (↑)=301, Memory (↓)=35.5G2024.10 | 0.834 | |
| ConvNeXt-SToken mixer=2D Conv., Input size=224, Parameters=50M, Throughput (↑)=412, Memory (↓)=13.1G2024.10 | 0.831 | |
| DeiT-BaseToken mixer=Self-Attention, Input size=384, Parameters=86M, Throughput (↑)=201, Memory (↓)=63.8G2024.10 | 0.831 | |
| MambaReg-BToken mixer=Mamba, Input size=224, Parameters=99M, Throughput (↑)=196, Memory (↓)=20.3G2024.10 | 0.83 | |
| Adventurer-BaseToken mixer=Mamba, Input size=224, Parameters=99M, Throughput (↑)=856, Memory (↓)=13.0G2024.10 | 0.826 | |
| ConvNeXt-TToken mixer=2D Conv., Input size=224, Parameters=29M, Throughput (↑)=635, Memory (↓)=8.3G2024.10 | 0.821 | |
| Adventurer-SmallToken mixer=Mamba, Input size=224, Parameters=44M, Throughput (↑)=1405, Memory (↓)=8.3G2024.10 | 0.818 | |
| DeiT-BaseToken mixer=Self-Attention, Input size=224, Parameters=86M, Throughput (↑)=861, Memory (↓)=14.4G2024.10 | 0.818 | |
| EfficientNet-B3Token mixer=2D Conv., Input size=300, Parameters=12M, Throughput (↑)=546, Memory (↓)=19.7G2024.10 | 0.816 | |
| MambaReg-SToken mixer=Mamba, Input size=224, Parameters=28M, Throughput (↑)=391, Memory (↓)=9.9G2024.10 | 0.814 | |
| Vim-SmallToken mixer=Mamba, Input size=224, Parameters=26M, Throughput (↑)=395, Memory (↓)=9.4G2024.10 | 0.805 | |
| DeiT-SmallToken mixer=Self-Attention, Input size=224, Parameters=22M, Throughput (↑)=1924, Memory (↓)=6.8G2024.10 | 0.798 | |
| Adventurer-TinyToken mixer=Mamba, Input size=224, Parameters=12M, Throughput (↑)=2757, Memory (↓)=4.2G2024.10 | 0.782 | |
| MambaReg-TToken mixer=Mamba, Input size=224, Parameters=9M, Throughput (↑)=746, Memory (↓)=5.1G2024.10 | 0.774 | |
| Vim-TinyToken mixer=Mamba, Input size=224, Parameters=7M, Throughput (↑)=750, Memory (↓)=4.8G2024.10 | 0.761 | |
| DeiT-TinyToken mixer=Self-Attention, Input size=224, Parameters=5M, Throughput (↑)=3480, Memory (↓)=3.4G2024.10 | 0.722 |