Facial Attribute Classification on CelebA (test)
92.98Average AccPS-MCNN
Evaluation results
| Method | Links | ||||||||||||||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| PS-MCNNProportion=100%, Training Samples=1627702021.12 | 92.98 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| FRAArch.=R50 [21], Params.=24M, Pre-training Dataset=VGGFace2 [6], Pre-training Scale=3.3M, Pre-training Supervision=face image2024.03 | 92.02 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| FaRL ftProportion=100%, Training Samples=162770, Mode=fine-tuned2021.12 | 91.88 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| FaRLArch.=ViT-B/16 [17], Params.=86M, Pre-training Dataset=LAION-FACE [72], Pre-training Scale=20M, Pre-training Supervision=face image + text2024.03 | 91.88 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| He et al.Proportion=100%, Training Samples=1627702021.12 | 91.81 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| SSPLProportion=100%, Training Samples=1627702021.12 | 91.77 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| DMMProportion=100%, Training Samples=1627702021.12 | 91.7 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| RotProportion=100%, Training Samples=1627702021.12 | 91.69 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| DeepClusterProportion=100%, Training Samples=1627702021.12 | 91.68 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| Jigsaw PuzzleProportion=100%, Training Samples=1627702021.12 | 91.57 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| AFFAIRProportion=100%, Training Samples=1627702021.12 | 91.45 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| VATProportion=100%, Training Samples=1627702021.12 | 91.44 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| FaRLProportion=100%, Training Samples=1627702021.12 | 91.39 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| SlimCNNProportion=100%, Training Samples=1627702021.12 | 91.24 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| MCFA2018.05 | 91 | 87 | 93 | 93 | 83 | 96 | 96 | 88 | 92 | 96 | 75 | 77 | 95 | 85 | 94 | 88 | 98 | 97 | 96 | 89 | 85 | 100 | 99 | 94 | 99 | 97 | 98 | 97 | 98 | 97 | 83 | 85 | 72 | 84 | 92 | 96 | 96 | 87 | 94 | 90 | 88 | — | — | — | |
| FaRL ftProportion=2%, Training Samples=3255, Mode=fine-tuned2021.12 | 90.55 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| FaRLProportion=2%, Training Samples=32552021.12 | 90.26 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| FaRL ftProportion=1%, Training Samples=1627, Mode=fine-tuned2021.12 | 90.24 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| FixMathProportion=100%, Training Samples=1627702021.12 | 89.78 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| FaRLProportion=1%, Training Samples=16272021.12 | 89.66 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| SSPLProportion=2%, Training Samples=32552021.12 | 89.58 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| FaRL ftProportion=0.5%, Training Samples=843, Mode=fine-tuned2021.12 | 89.12 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| DeepClusterProportion=2%, Training Samples=32552021.12 | 88.86 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| SSPLProportion=1%, Training Samples=16272021.12 | 88.84 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| RotProportion=2%, Training Samples=32552021.12 | 88.82 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| FaRLProportion=0.5%, Training Samples=8432021.12 | 88.58 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| FaRL ftProportion=0.2%, Training Samples=325, Mode=fine-tuned2021.12 | 88.51 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| SSPLProportion=0.5%, Training Samples=8432021.12 | 88.05 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| Jigsaw PuzzleProportion=2%, Training Samples=32552021.12 | 87.77 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| RotProportion=1%, Training Samples=16272021.12 | 87.67 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| FaRLProportion=0.2%, Training Samples=3252021.12 | 87.63 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| DeepClusterProportion=1%, Training Samples=16272021.12 | 87.46 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| VATProportion=2%, Training Samples=32552021.12 | 87.28 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| Oracle-MAMLway=2, shot=5, protocol=Supervised meta-learning2018.10 | 87.1 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| LNets+ANet2018.05 | 87 | 87 | 92 | 92 | 81 | 95 | 95 | 80 | 90 | 95 | 66 | 72 | 90 | 80 | 93 | 87 | 97 | 91 | 84 | 88 | 73 | 99 | 99 | 91 | 98 | 95 | 98 | 95 | 96 | 93 | 79 | 79 | 68 | 78 | 90 | 91 | 92 | 81 | 89 | 82 | 71 | — | — | — | |
| MT-RBM (PCA)variant=PCA2018.05 | 87 | 83 | 82 | 88 | 76 | 88 | 91 | 83 | 85 | 90 | 73 | 73 | 94 | 72 | 89 | 81 | 97 | 96 | 95 | 76 | 80 | 96 | 97 | 90 | 98 | 96 | 90 | 97 | 96 | 94 | 77 | 81 | 69 | 81 | 88 | 95 | 96 | 86 | 92 | 81 | 87 | — | — | — | |
| SSPLProportion=0.2%, Training Samples=3252021.12 | 86.67 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| RotProportion=0.5%, Training Samples=8432021.12 | 86.51 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| VATProportion=1%, Training Samples=16272021.12 | 86.3 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| Jigsaw PuzzleProportion=1%, Training Samples=16272021.12 | 86.25 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| FixMathProportion=2%, Training Samples=32552021.12 | 86.14 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| DeepClusterProportion=0.5%, Training Samples=8432021.12 | 86.13 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| FixMathProportion=1%, Training Samples=16272021.12 | 85.77 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| Oracle-ProtoNetsway=2, shot=5, protocol=Supervised meta-learning2018.10 | 85.13 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| PANDA-lvariant=l2018.05 | 85 | 86 | 93 | 92 | 81 | 92 | 93 | 77 | 90 | 93 | 65 | 71 | 87 | 77 | 93 | 84 | 94 | 91 | 86 | 85 | 69 | 98 | 96 | 88 | 96 | 93 | 97 | 93 | 93 | 91 | 78 | 79 | 67 | 75 | 86 | 86 | 88 | 84 | 85 | 78 | 67 | — | — | — | |
| Jigsaw PuzzleProportion=0.5%, Training Samples=8432021.12 | 84.71 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| FixMathProportion=0.5%, Training Samples=8432021.12 | 84.19 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| VATProportion=0.5%, Training Samples=8432021.12 | 84.02 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| RotProportion=0.2%, Training Samples=3252021.12 | 83.25 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| DeepClusterProportion=0.2%, Training Samples=3252021.12 | 83.21 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| ANet2018.05 | 83 | 85 | 85 | 92 | 79 | 94 | 86 | 74 | 87 | 91 | 65 | 67 | 85 | 79 | 91 | 81 | 93 | 89 | 83 | 77 | 70 | 96 | 93 | 86 | 92 | 92 | 95 | 87 | 94 | 90 | 75 | 77 | 63 | 74 | 80 | 86 | 90 | 83 | 84 | 77 | 70 | — | — | — | |
| LNets+ANet(w/o)variant=w/o2018.05 | 83 | 84 | 86 | 88 | 77 | 92 | 91 | 78 | 85 | 92 | 63 | 70 | 87 | 75 | 90 | 83 | 93 | 87 | 80 | 84 | 69 | 96 | 96 | 88 | 95 | 92 | 94 | 91 | 91 | 86 | 74 | 73 | 66 | 75 | 85 | 86 | 88 | 77 | 85 | 78 | 68 | — | — | — | |
| Jigsaw PuzzleProportion=0.2%, Training Samples=3252021.12 | 82.88 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| SlimCNNProportion=2%, Training Samples=32552021.12 | 82.32 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| VATProportion=0.2%, Training Samples=3252021.12 | 81.44 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| FaceTracer2018.05 | 81 | 84 | 87 | 89 | 78 | 88 | 80 | 60 | 85 | 90 | 64 | 68 | 84 | 73 | 89 | 80 | 90 | 83 | 81 | 70 | 63 | 98 | 89 | 85 | 89 | 93 | 91 | 91 | 94 | 86 | 76 | 76 | 64 | 74 | 80 | 86 | 88 | 82 | 76 | 73 | 68 | — | — | — | |
| SlimCNNProportion=1%, Training Samples=16272021.12 | 80.96 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| AD+FitNetRole=Student (Hybrid)2021.05 | 80.6 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 5.12 | 5.51 | — | |
| AD+HKDRole=Student (Hybrid)2021.05 | 80.31 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 3.4 | 4.05 | — | |
| FixMathProportion=0.2%, Training Samples=3252021.12 | 80.22 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| SlimCNNProportion=0.5%, Training Samples=8432021.12 | 80.2 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| MFDRole=Student (Ours)2021.05 | 80.15 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 5.46 | 5.86 | — | |
| SS+HKDRole=Student (Hybrid)2021.05 | 79.95 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 8.41 | 8.27 | — | |
| SlimCNNProportion=0.2%, Training Samples=3252021.12 | 79.9 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| SS+FitNetRole=Student (Hybrid)2021.05 | 79.77 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 9.31 | 8.61 | — | |
| SSRole=Student (In-processing)2021.05 | 79.67 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 4.87 | 5.22 | — | |
| PANDA-wvariant=w2018.05 | 79 | 80 | 82 | 89 | 77 | 89 | 81 | 69 | 84 | 87 | 62 | 65 | 81 | 76 | 88 | 77 | 88 | 84 | 77 | 74 | 67 | 94 | 91 | 82 | 92 | 86 | 93 | 83 | 90 | 88 | 73 | 71 | 61 | 70 | 76 | 82 | 85 | 79 | 82 | 72 | 67 | — | — | — | |
| HKDRole=Student (KD)2021.05 | 78.64 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 21.56 | 22.54 | — | |
| ATRole=Student (KD)2021.05 | 78.63 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 21.28 | 22.24 | — | |
| FitNetRole=Student (KD)2021.05 | 78.62 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 20.66 | 21.7 | — | |
| TeacherRole=Teacher Baseline2021.05 | 78.33 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 21.04 | 21.81 | — | |
| ADRole=Student (In-processing)2021.05 | 76.1 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 2.51 | 3.34 | — | |
| CACTUS-MAMLway=2, shot=5, embedding source=BiGAN, embedding dimensionality (d)=200, number of partitions (P)=50, number of clusters (k)=5002018.10 | 74.98 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| CACTUS-ProtoNetsway=2, shot=5, embedding source=DeepCluster, embedding dimensionality (d)=256, number of partitions (P)=50, number of clusters (k)=5002018.10 | 74.15 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| CACTUS-MAMLway=2, shot=5, embedding source=DeepCluster, embedding dimensionality (d)=256, number of partitions (P)=50, number of clusters (k)=5002018.10 | 73.79 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| MVTBackbone=ViT-g2025.12 | 69.1 | — | — | 71 | 59 | — | 58.3 | — | — | — | — | — | — | — | 73.2 | 56.1 | — | — | — | — | — | 84.1 | 77.2 | — | 91.8 | — | 98.9 | 74.9 | — | 41.2 | — | — | — | — | — | — | — | — | — | — | 43.6 | — | — | — | |
| CLIPBackbone=ViT-g2025.12 | 65.7 | — | — | 70.4 | 58.2 | — | 46 | — | — | — | — | — | — | — | 72.5 | 54.1 | — | — | — | — | — | 83.8 | 75.5 | — | 91.3 | — | 98.5 | 66.6 | — | 28.4 | — | — | — | — | — | — | — | — | — | — | 43.5 | — | — | — | |
| CACTUS-ProtoNetsway=2, shot=5, embedding source=BiGAN, embedding dimensionality (d)=200, number of partitions (P)=50, number of clusters (k)=5002018.10 | 65.58 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| Training from scratchway=2, shot=52018.10 | 63.19 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| DeepCluster - Embedding knn-nearest neighborsway=2, shot=5, embedding dimensionality (d)=256, protocol=knn-nearest neighbors2018.10 | 61.47 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| DeepCluster - Embedding MLP with dropoutway=2, shot=5, embedding dimensionality (d)=256, hidden units (h)=128, protocol=MLP with dropout2018.10 | 60.65 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| MVTBackbone=ViT-L2025.12 | 60.6 | — | — | 65.4 | 42.4 | — | 53 | — | — | — | — | — | — | — | 39.4 | 73.5 | — | — | — | — | — | 76.1 | 67 | — | 88.1 | — | 74 | 55.8 | — | 53.9 | — | — | — | — | — | — | — | — | — | — | 38.6 | — | — | — | |
| DeepCluster - Embedding linear classifierway=2, shot=5, embedding dimensionality (d)=256, protocol=linear classifier2018.10 | 59.57 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| BiGAN - Embedding linear classifierway=2, shot=5, embedding dimensionality (d)=200, protocol=linear classifier2018.10 | 58.44 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| BiGAN - Embedding MLP with dropoutway=2, shot=5, embedding dimensionality (d)=200, hidden units (h)=128, protocol=MLP with dropout2018.10 | 56.26 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| BiGAN - Embedding cluster matchingway=2, shot=5, embedding dimensionality (d)=200, number of clusters (k)=500, protocol=cluster matching2018.10 | 56.2 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| BiGAN - Embedding knn-nearest neighborsway=2, shot=5, embedding dimensionality (d)=200, protocol=knn-nearest neighbors2018.10 | 56.15 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| CLIPBackbone=ViT-L2025.12 | 52.5 | — | — | 64.5 | 42 | — | 36.2 | — | — | — | — | — | — | — | 30.8 | 66.6 | — | — | — | — | — | 75.8 | 60.8 | — | 86.3 | — | 63 | 29 | — | 37.5 | — | — | — | — | — | — | — | — | — | — | 38 | — | — | — | |
| DeepCluster - Embedding cluster matchingway=2, shot=5, embedding dimensionality (d)=256, number of clusters (k)=500, protocol=cluster matching2018.10 | 51.51 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — |