Image Classification on Pascal VOC 2007 (test)
92.6AccuracySEER
Evaluation Results
| Method | Links | |
|---|---|---|
| SEERArch.=RG256, Pre-training source=uncurated data, Evaluation Protocol=linear evaluation2021.03 | 92.6 | |
| SEERArch.=RG128, Pre-training source=uncurated data, Evaluation Protocol=linear evaluation2021.03 | 91.6 | |
| SwAVArch.=RG128, Pre-training source=ImageNet, Evaluation Protocol=linear evaluation2021.03 | 89.8 | |
| SupervisedArch.=RG128, Pre-training source=ImageNet, Evaluation Protocol=linear evaluation2021.03 | 89.2 | |
| SwAVArch.=RN50, Pre-training source=ImageNet, Evaluation Protocol=linear evaluation2021.03 | 88.9 | |
| HCLPre-train dataset=COCO, Bbox type=Ground Truth (GT), Linear evaluation=true2022.12 | 76.51 | |
| MoCo-v2 + bboxPre-train dataset=COCO, Bbox type=Ground Truth (GT), Linear evaluation=true2022.12 | 75.55 | |
| HCLPre-train dataset=OpenImages, Bbox type=Ground Truth (GT), Linear evaluation=true2022.12 | 75.4 | |
| HCLPre-train dataset=OpenImages, Bbox type=Selective Search (SS), Linear evaluation=true2022.12 | 74.31 | |
| HCLPre-train dataset=COCO, Bbox type=Selective Search (SS), Linear evaluation=true2022.12 | 74.19 | |
| MoCo-v2 + bboxPre-train dataset=OpenImages, Bbox type=Ground Truth (GT), Linear evaluation=true2022.12 | 73.79 | |
| MoCo-v2 + bboxPre-train dataset=COCO, Bbox type=Selective Search (SS), Linear evaluation=true2022.12 | 73.13 | |
| MoCo-v2 + bboxPre-train dataset=OpenImages, Bbox type=Selective Search (SS), Linear evaluation=true2022.12 | 71.82 | |
| MoCo-v2Pre-train dataset=OpenImages, Bbox type=Random crops, Linear evaluation=true2022.12 | 69.95 | |
| MoCo-v2Pre-train dataset=COCO, Bbox type=Random crops, Linear evaluation=true2022.12 | 64.79 |