Few-shot classification on Places
84.41AccuracySupervised
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| SupervisedBackbone=ResNet-50, Evaluation protocol=5-way 5-shot2023.03 | 84.41 | — | — | |
| PsCoBackbone=ResNet-50, Base Method=MoCo v2, Evaluation protocol=5-way 5-shot2023.03 | 83.87 | — | — | |
| PsCoBackbone=ResNet-50, Base Method=BYOL, Evaluation protocol=5-way 5-shot2023.03 | 83.8 | — | — | |
| MoCo v2Backbone=ResNet-50, Evaluation protocol=5-way 5-shot2023.03 | 81.39 | — | — | |
| PsCoBackbone=ResNet-18, Base Method=MoCo v2, Evaluation protocol=5-way 5-shot2023.03 | 79.74 | — | — | |
| SRasPBackbone=ResNet-10, FT=True, Shot=5-shot2026.03 | 79.4 | — | — | |
| StyleAdvBackbone=ResNet-10, FT=True, Shot=5-shot2026.03 | 79.35 | — | — | |
| MoCo v2Backbone=ResNet-18, Evaluation protocol=5-way 5-shot2023.03 | 79.11 | — | — | |
| SVasPBackbone=ResNet-10, FT=True, Shot=5-shot2026.03 | 78.91 | — | — | |
| SRasPBackbone=ResNet-10, FT=False, Shot=5-shot2026.03 | 78.57 | — | — | |
| HAPBackbone=ResNet-10, FT=True, Shot=5-shot2026.03 | 78.46 | — | — | |
| HAPBackbone=ResNet-10, FT=True, Shot=5-shot2026.03 | 77.84 | — | — | |
| SVasPBackbone=ResNet-10, FT=False, Shot=5-shot2026.03 | 77.78 | — | — | |
| StyleAdvBackbone=ResNet-10, FT=False, Shot=5-shot2026.03 | 77.73 | — | — | |
| ATABackbone=ResNet-10, FT=True, Shot=5-shot2026.03 | 76.64 | — | — | |
| GNN w/ AFA (Ours)Shot=5-shot2022.08 | 76.21 | — | — | |
| ATABackbone=ResNet-10, FT=False, Shot=5-shot2026.03 | 75.48 | — | — | |
| BYOLBackbone=ResNet-50, Evaluation protocol=5-way 5-shot2023.03 | 75.43 | — | — | |
| RDCBackbone=ResNet-10, FT=True, Shot=5-shot2026.03 | 74.65 | — | — | |
| PsCoway=5, shot=20, Backbone=Conv5, Pre-trained=miniImageNet2023.03 | 73.95 | — | — | |
| GNN (FT)Backbone=ResNet-10, Training Dataset=mini-ImageNet, FT (Feature-wise Transformation)=true2020.01 | 73.94 | — | — | |
| FWTBackbone=ResNet-10, FT=False, Shot=5-shot2026.03 | 73.94 | — | — | |
| TPN w/ AFA (Ours)Shot=5-shot2022.08 | 72.81 | — | — | |
| FLoRBackbone=ResNet-10, FT=True, Shot=5-shot2026.03 | 72.37 | — | — | |
| FLoRBackbone=ResNet-10, FT=False, Shot=5-shot2026.03 | 72.31 | — | — | |
| NSAEBackbone=ResNet-10, FT=True, Shot=5-shot2026.03 | 71.02 | — | — | |
| GNNBackbone=ResNet-10, Training Dataset=mini-ImageNet, FT (Feature-wise Transformation)=false2020.01 | 70.84 | — | — | |
| GNNBackbone=ResNet-10, FT=False, Shot=5-shot2026.03 | 70.84 | — | — | |
| Fine-tuneBackbone=ResNet-10, FT=True, Shot=5-shot2026.03 | 70.06 | — | — | |
| SimCLRway=5, shot=20, Backbone=Conv5, Pre-trained=miniImageNet2023.03 | 69.93 | — | — | |
| SWAVway=5, shot=20, Backbone=Conv5, Pre-trained=miniImageNet2023.03 | 69.7 | — | — | |
| MoCo v2way=5, shot=20, Backbone=Conv5, Pre-trained=miniImageNet2023.03 | 69.08 | — | — | |
| MN w/ AFA (Ours)Shot=5-shot2022.08 | 68.87 | — | — | |
| ProtoNetsway=5, shot=20, Backbone=Conv5, Pre-trained=miniImageNet2023.03 | 67.77 | — | — | |
| MAMLway=5, shot=20, Backbone=Conv5, Pre-trained=miniImageNet2023.03 | 67.54 | — | — | |
| RelationNet (FT)Backbone=ResNet-10, Training Dataset=mini-ImageNet, FT (Feature-wise Transformation)=true2020.01 | 66.28 | — | — | |
| MetaOptNet-SVM-trainvalBackbone=ResNet-12, Training Dataset=mini-ImageNet, FT (Feature-wise Transformation)=false2020.01 | 65.83 | — | — | |
| Meta-GMVAEway=5, shot=20, Backbone=Conv5, Pre-trained=miniImageNet2023.03 | 65.08 | — | — | |
| MatchingNet (FT)Backbone=ResNet-10, Training Dataset=mini-ImageNet, FT (Feature-wise Transformation)=true2020.01 | 64.55 | — | — | |
| PsCoway=5, shot=5, Backbone=Conv5, Pre-trained=miniImageNet2023.03 | 63.6 | — | — | |
| RelationNetBackbone=ResNet-10, Training Dataset=mini-ImageNet, FT (Feature-wise Transformation)=false2020.01 | 63.32 | — | — | |
| MatchingNetBackbone=ResNet-10, Training Dataset=mini-ImageNet, FT (Feature-wise Transformation)=false2020.01 | 63.16 | — | — | |
| Meta-SVEBMway=5, shot=20, Backbone=Conv5, Pre-trained=miniImageNet2023.03 | 61.09 | — | — | |
| TPN w/ AFA (Ours)Shot=1-shot2022.08 | 60.29 | — | — | |
| SRasPBackbone=ResNet-10, FT=False, Shot=1-shot2026.03 | 60.11 | — | — | |
| SRasPBackbone=ResNet-10, FT=True, Shot=1-shot2026.03 | 60.11 | — | — | |
| SimCLRway=5, shot=5, Backbone=Conv5, Pre-trained=miniImageNet2023.03 | 60.1 | — | — | |
| MAMLway=5, shot=5, Backbone=Conv5, Pre-trained=miniImageNet2023.03 | 60.05 | — | — | |
| SWAVway=5, shot=5, Backbone=Conv5, Pre-trained=miniImageNet2023.03 | 59.57 | — | — | |
| ProtoNetsway=5, shot=5, Backbone=Conv5, Pre-trained=miniImageNet2023.03 | 59.39 | — | — | |
| MoCo v2way=5, shot=5, Backbone=Conv5, Pre-trained=miniImageNet2023.03 | 59.09 | — | — | |
| SVasPBackbone=ResNet-10, FT=False, Shot=1-shot2026.03 | 59.07 | — | — | |
| SVasPBackbone=ResNet-10, FT=True, Shot=1-shot2026.03 | 59.07 | — | — | |
| HAPBackbone=ResNet-10, FT=True, Shot=1-shot2026.03 | 59.02 | — | — | |
| StyleAdvBackbone=ResNet-10, FT=False, Shot=1-shot2026.03 | 58.58 | — | — | |
| StyleAdvBackbone=ResNet-10, FT=True, Shot=1-shot2026.03 | 58.58 | — | — | |
| HAPBackbone=ResNet-10, FT=False, Shot=1-shot2026.03 | 57.71 | — | — | |
| Meta-GMVAEway=5, shot=5, Backbone=Conv5, Pre-trained=miniImageNet2023.03 | 57.7 | — | — | |
| FWTBackbone=ResNet-10, FT=False, Shot=1-shot2026.03 | 55.77 | — | — | |
| MN w/ AFA (Ours)Shot=1-shot2022.08 | 54.66 | — | — | |
| ATABackbone=ResNet-10, FT=True, Shot=1-shot2026.03 | 54.18 | — | — | |
| GNN w/ AFA (Ours)Shot=1-shot2022.08 | 54.04 | — | — | |
| FLoRBackbone=ResNet-10, FT=True, Shot=1-shot2026.03 | 53.61 | — | — | |
| ATABackbone=ResNet-10, FT=False, Shot=1-shot2026.03 | 53.57 | — | — | |
| FLoRBackbone=ResNet-10, FT=False, Shot=1-shot2026.03 | 53.18 | — | — | |
| GNNBackbone=ResNet-10, FT=False, Shot=1-shot2026.03 | 53.1 | — | — | |
| Meta-SVEBMway=5, shot=5, Backbone=Conv5, Pre-trained=miniImageNet2023.03 | 51.27 | — | — | |
| Weight RecyclingK=42026.05 | 41.98 | — | — | |
| NCCK=42026.05 | 38.71 | — | — | |
| Weight RecyclingK=22026.05 | 35.94 | — | — | |
| Weight RecyclingK=12026.05 | 35.51 | — | — | |
| NCCK=22026.05 | 30.22 | — | — | |
| KNNK=42026.05 | 28.77 | — | — | |
| KNNK=22026.05 | 22.49 | — | — | |
| NCCK=12026.05 | 21.96 | — | — | |
| KNNK=12026.05 | 21.96 | — | — | |
| GNNTraining dataset=mini-ImageNet, Number of ways=5-way2021.04 | — | 52.42 | 70.91 | |
| GNN + ATATraining dataset=mini-ImageNet, Number of ways=5-way2021.04 | — | 53.57 | 75.48 | |
| GNN + FTTraining dataset=mini-ImageNet, Number of ways=5-way2021.04 | — | 53.44 | 70.7 | |
| GNN + LRPTraining dataset=mini-ImageNet, Number of ways=5-way2021.04 | — | 52.28 | 71.38 | |
| RelationNetTraining dataset=mini-ImageNet, Number of ways=5-way2021.04 | — | 48.16 | 64.25 | |
| RelationNet + ATATraining dataset=mini-ImageNet, Number of ways=5-way2021.04 | — | 51.16 | 66.9 | |
| RelationNet + FTTraining dataset=mini-ImageNet, Number of ways=5-way2021.04 | — | 49.92 | 65.55 | |
| RelationNet + LRPTraining dataset=mini-ImageNet, Number of ways=5-way2021.04 | — | 48.47 | 65.35 | |
| TPNTraining dataset=mini-ImageNet, Number of ways=5-way2021.04 | — | 56.17 | 71.39 | |
| TPN + ATATraining dataset=mini-ImageNet, Number of ways=5-way2021.04 | — | 57.03 | 72.12 | |
| TPN + FTTraining dataset=mini-ImageNet, Number of ways=5-way2021.04 | — | 52.45 | 66.75 |