Image Classification on ImageNet-100 1.0 (val)
86.26Top-1 AccSupervised
Evaluation Results
| Method | Links | |
|---|---|---|
| Supervised2021.10 | 86.26 | |
| InfoMin2021.10 | 82.74 | |
| MoCo-v2 + Patch-basedalpha=2, training setting=IFM setting2021.10 | 81.49 | |
| MoCo-v2 + IFMepsilon=0.1, training setting=IFM setting2021.10 | 81.22 | |
| MoCo-v2 + IFMepsilon=0.2, training setting=IFM setting2021.10 | 81.02 | |
| MoCo-v2 + IFMepsilon=0.05, training setting=IFM setting2021.10 | 80.86 | |
| MoCo-v2training setting=IFM setting, memory bank size (k)=163842021.10 | 80 | |
| MoCo-v2 + Patch-basedmemory bank size (k)=8192, alpha=22021.10 | 79.54 | |
| MoCo-v2 + Patch-basedmemory bank size (k)=16384, alpha=22021.10 | 79.35 | |
| CMC2021.10 | 79.34 | |
| HCLPre-train dataset=OpenImages, Bbox type=Ground Truth (GT), Linear evaluation=true2022.12 | 79.08 | |
| BYOL + Patch-basedalpha=0.052021.10 | 78.81 | |
| BYOL2021.10 | 78.76 | |
| HCLPre-train dataset=OpenImages, Bbox type=Selective Search (SS), Linear evaluation=true2022.12 | 78.14 | |
| MoCo-v2memory bank size (k)=163842021.10 | 77.88 | |
| MoCo-v2 + Texture-basedmemory bank size (k)=16384, alpha=22021.10 | 77.76 | |
| MoCo-v2memory bank size (k)=81922021.10 | 77.73 | |
| MoCo-v2 + bboxPre-train dataset=OpenImages, Bbox type=Ground Truth (GT), Linear evaluation=true2022.12 | 77.36 | |
| HCLPre-train dataset=COCO, Bbox type=Ground Truth (GT), Linear evaluation=true2022.12 | 76.74 | |
| MoCo-v2 + bboxPre-train dataset=COCO, Bbox type=Ground Truth (GT), Linear evaluation=true2022.12 | 76.22 | |
| MoCo-v2 + Patch-basedmemory bank size (k)=16384, alpha=32021.10 | 75.58 | |
| MoCo-v2 + bboxPre-train dataset=OpenImages, Bbox type=Selective Search (SS), Linear evaluation=true2022.12 | 75.33 | |
| HCLPre-train dataset=COCO, Bbox type=Selective Search (SS), Linear evaluation=true2022.12 | 75.16 | |
| MoCo-v2 + bboxPre-train dataset=COCO, Bbox type=Selective Search (SS), Linear evaluation=true2022.12 | 73.84 | |
| MoCo-v2Pre-train dataset=OpenImages, Bbox type=Random crops, Linear evaluation=true2022.12 | 72.8 | |
| InsDis2021.10 | 68.52 | |
| MoCo-v2Pre-train dataset=COCO, Bbox type=Random crops, Linear evaluation=true2022.12 | 64.84 |