Image Classification on ImageNet to 10 Target Datasets (test)
72.33ImageNet AccuracyDeKgTCP
Evaluation Results
| Method | Links | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| DeKgTCPSource Dataset=ImageNet, Few-shot Setting (Shots)=16 shots2025.12 | 72.33 | 94.73 | 90.02 | 65.49 | 72.39 | 86.59 | 25.05 | 67.19 | 44.47 | 51.37 | 68.78 | 66.61 | |
| TAPSource Dataset=ImageNet, Few-shot Setting (Shots)=16 shots2025.12 | 72.3 | 94.3 | 90.7 | 65.6 | 70.93 | 86.1 | 24.57 | 68.3 | 50.2 | 46 | 68.9 | 66.56 | |
| IPOShots=16-shot, Backbone=ViT-B/162024.10 | 72.15 | 94.34 | 90.96 | 66.1 | 72.75 | 86.75 | 25.14 | 67.97 | 47.01 | 48.56 | 69.23 | 67.36 | |
| CoOp + SpecPLSource Dataset=ImageNet2026.05 | 72.12 | 94.12 | 90.62 | 63.66 | 71.13 | 86.09 | 23.85 | 65.71 | 45.04 | 53.54 | 67.38 | 66.11 | |
| MMRL + SpecPLSource Dataset=ImageNet2026.05 | 72.07 | 94.85 | 91.99 | 66.48 | 72.96 | 86.86 | 26.58 | 67.94 | 46.43 | 52.88 | 69.1 | 67.61 | |
| MMRL2025.03 | 72.03 | 94.67 | 91.43 | 66.1 | 72.77 | 86.4 | 26.3 | 67.57 | 45.9 | 53.1 | 68.27 | 67.25 | |
| MMRLSource Dataset=ImageNet2026.05 | 72.03 | 94.67 | 91.43 | 66.1 | 72.77 | 86.4 | 26.3 | 67.57 | 45.9 | 53.1 | 68.27 | 67.25 | |
| TransAgentmode=few-shot prompt learning2024.10 | 72 | 94.37 | 90.33 | 65.43 | 71.4 | 86.47 | 23.2 | 66.2 | 45.3 | 52.13 | 69.93 | 66.48 | |
| DroPLeSource Dataset=ImageNet, Few-shot Setting (Shots)=16 shots2025.12 | 71.94 | 94.77 | 91.06 | 66.18 | 72.37 | 86.17 | 26.36 | 67.33 | 47.45 | 52.63 | 68.46 | 67.28 | |
| HPT++2024.08 | 71.81 | 94.02 | 92.16 | 65.55 | 72.43 | 86.34 | 28.6 | 68.78 | 51.02 | 50.76 | 70.53 | 68.02 | |
| CDCTransfer Source=ImageNet2024.10 | 71.76 | 94.47 | 90.77 | 66.27 | 72.67 | 86.27 | 24.5 | 68.07 | 46.6 | 49.13 | 68.6 | 66.73 | |
| HPTtraining_shots=16, protocol=cross-dataset evaluation2023.12 | 71.72 | 94.2 | 92.63 | 66.33 | 74.84 | 86.21 | 25.68 | 68.75 | 50.87 | 47.36 | 70.5 | 67.74 | |
| HPT2024.08 | 71.72 | 94.2 | 92.63 | 66.33 | 74.84 | 86.21 | 25.68 | 68.75 | 50.87 | 47.36 | 70.5 | 67.74 | |
| CoOpevaluation_mode=cross-dataset evaluation, source_dataset=ImageNet2022.10 | 71.51 | 93.7 | 89.14 | 64.51 | 68.71 | 85.3 | 18.47 | 64.15 | 41.92 | 46.39 | 66.55 | 63.88 | |
| CoOptraining_shots=16, protocol=cross-dataset evaluation2023.12 | 71.51 | 93.7 | 89.14 | 64.51 | 68.71 | 85.3 | 18.47 | 64.15 | 41.92 | 46.39 | 66.55 | 63.88 | |
| CoOp2023.11 | 71.51 | 93.7 | 89.14 | 64.51 | 68.71 | 85.3 | 18.47 | 64.15 | 41.92 | 46.39 | 66.55 | 63.88 | |
| CoOp2024.08 | 71.51 | 93.7 | 89.14 | 64.51 | 68.71 | 85.3 | 18.47 | 64.15 | 41.92 | 46.39 | 66.55 | 63.88 | |
| CoOpShots=16-shot, Backbone=ViT-B/162024.10 | 71.51 | 93.7 | 89.14 | 64.51 | 68.71 | 85.3 | 18.47 | 64.15 | 41.92 | 46.39 | 66.55 | 63.88 | |
| CoOpTransfer Source=ImageNet2024.10 | 71.51 | 93.7 | 89.14 | 64.51 | 68.71 | 85.3 | 18.47 | 64.15 | 41.92 | 46.39 | 66.55 | 63.88 | |
| CoOpmode=few-shot prompt learning2024.10 | 71.51 | 93.7 | 89.14 | 64.51 | 68.71 | 85.3 | 18.47 | 64.15 | 41.92 | 46.39 | 66.55 | 63.88 | |
| CoOp2025.03 | 71.51 | 93.7 | 89.14 | 64.51 | 68.71 | 85.3 | 18.47 | 64.15 | 41.92 | 46.39 | 66.55 | 63.88 | |
| CoOpSource Dataset=ImageNet, Few-shot Setting (Shots)=16 shots2025.12 | 71.51 | 93.7 | 89.14 | 64.51 | 68.71 | 85.3 | 18.47 | 64.15 | 41.92 | 46.39 | 66.55 | 63.88 | |
| CoOpSource Dataset=ImageNet2026.05 | 71.51 | 93.7 | 89.14 | 64.51 | 68.71 | 85.3 | 18.47 | 64.15 | 41.92 | 46.39 | 66.55 | 63.88 | |
| TCP2025.03 | 71.4 | 93.97 | 91.25 | 64.69 | 71.21 | 86.69 | 23.45 | 67.15 | 44.35 | 51.45 | 68.73 | 66.29 | |
| ProMetaRSource Dataset=ImageNet, Few-shot Setting (Shots)=16 shots2025.12 | 71.29 | 93.74 | 90.59 | 65.83 | 71.13 | 86.39 | 24.78 | 67.41 | 47.08 | 45.02 | 69.5 | 66.15 | |
| PromptSRC2023.11 | 71.27 | 93.6 | 90.25 | 65.7 | 70.25 | 86.15 | 23.9 | 67.1 | 46.87 | 45.5 | 68.75 | 65.81 | |
| PromptSRC2024.08 | 71.27 | 93.6 | 90.25 | 65.7 | 70.25 | 86.15 | 23.9 | 67.1 | 46.87 | 45.5 | 68.75 | 65.81 | |
| PromptSRCmode=few-shot prompt learning2024.10 | 71.27 | 93.6 | 90.25 | 65.7 | 70.25 | 86.15 | 23.9 | 67.1 | 46.87 | 45.5 | 68.75 | 65.81 | |
| PromptSRC2025.03 | 71.27 | 93.6 | 90.25 | 65.7 | 70.25 | 86.15 | 23.9 | 67.1 | 46.87 | 45.5 | 68.75 | 65.81 | |
| PSRCSource Dataset=ImageNet, Few-shot Setting (Shots)=16 shots2025.12 | 71.27 | 93.6 | 90.25 | 65.7 | 70.25 | 86.15 | 23.9 | 67.1 | 46.87 | 45.5 | 68.75 | 65.81 | |
| Co-CoOpevaluation_mode=cross-dataset evaluation, source_dataset=ImageNet2022.10 | 71.02 | 94.43 | 90.14 | 65.32 | 71.88 | 86.06 | 22.94 | 67.36 | 45.73 | 45.37 | 68.21 | 65.74 | |
| CoCoOptraining_shots=16, protocol=cross-dataset evaluation2023.12 | 71.02 | 94.43 | 90.14 | 65.32 | 71.88 | 86.06 | 22.94 | 67.36 | 45.73 | 45.37 | 68.21 | 65.74 | |
| CoCoOp2023.11 | 71.02 | 94.43 | 90.14 | 65.32 | 71.88 | 86.06 | 22.94 | 67.36 | 45.73 | 45.37 | 68.21 | 65.74 | |
| CoCoOp2024.08 | 71.02 | 94.43 | 90.14 | 65.32 | 71.88 | 86.06 | 22.94 | 67.36 | 45.73 | 45.37 | 68.21 | 65.74 | |
| CoCoOpShots=16-shot, Backbone=ViT-B/162024.10 | 71.02 | 94.43 | 90.14 | 65.32 | 71.88 | 86.06 | 22.94 | 67.36 | 45.73 | 45.37 | 68.21 | 65.74 | |
| Co-CoOpTransfer Source=ImageNet2024.10 | 71.02 | 94.43 | 90.14 | 65.32 | 71.88 | 86.06 | 22.94 | 67.36 | 45.73 | 45.37 | 68.21 | 65.74 | |
| CoCoOpmode=few-shot prompt learning2024.10 | 71.02 | 94.43 | 90.14 | 65.32 | 71.88 | 86.06 | 22.94 | 67.36 | 45.73 | 45.37 | 68.21 | 65.74 | |
| Co-CoOp2025.03 | 71.02 | 94.43 | 90.14 | 65.32 | 71.88 | 86.06 | 22.94 | 67.36 | 45.73 | 45.37 | 68.21 | 65.74 | |
| MMA2025.03 | 71 | 93.8 | 90.3 | 66.13 | 72.07 | 86.12 | 25.33 | 68.17 | 46.57 | 49.24 | 68.32 | 66.61 | |
| TEntype=Tuning ensemble2023.11 | 70.88 | 93.91 | 90.72 | 71.94 | 72.59 | 86.68 | 26.03 | 66.07 | 49.31 | 48.18 | 69.14 | 67.46 | |
| CoPrompt2024.08 | 70.8 | 94.5 | 90.73 | 65.67 | 72.3 | 86.43 | 24 | 67.57 | 47.07 | 51.9 | 69.73 | 67 | |
| CoPromptSource Dataset=ImageNet, Few-shot Setting (Shots)=16 shots2025.12 | 70.8 | 94.5 | 90.73 | 65.67 | 72.3 | 86.43 | 24 | 67.57 | 47.07 | 51.9 | 69.73 | 67 | |
| MaPLeevaluation_mode=cross-dataset evaluation, source_dataset=ImageNet2022.10 | 70.72 | 93.53 | 90.49 | 65.57 | 72.23 | 86.2 | 24.74 | 67.01 | 46.49 | 48.06 | 68.69 | 66.3 | |
| MaPLetraining_shots=16, protocol=cross-dataset evaluation2023.12 | 70.72 | 93.53 | 90.49 | 65.57 | 72.23 | 86.2 | 24.74 | 67.01 | 46.49 | 48.06 | 68.69 | 66.3 | |
| MaPLe2023.11 | 70.72 | 93.53 | 90.49 | 65.57 | 72.23 | 86.2 | 24.74 | 67.01 | 46.49 | 48.06 | 68.69 | 66.3 | |
| MaPLe2024.08 | 70.72 | 93.53 | 90.49 | 65.57 | 72.23 | 86.2 | 24.74 | 67.01 | 46.49 | 48.06 | 68.69 | 66.3 | |
| MaPLeTransfer Source=ImageNet2024.10 | 70.72 | 93.53 | 90.49 | 65.57 | 72.23 | 86.2 | 24.74 | 67.01 | 46.49 | 48.06 | 68.69 | 66.3 | |
| MaPLemode=few-shot prompt learning2024.10 | 70.72 | 93.53 | 90.49 | 65.57 | 72.23 | 86.2 | 24.74 | 67.01 | 46.49 | 48.06 | 68.69 | 66.3 | |
| MaPLe2025.03 | 70.72 | 93.53 | 90.49 | 65.57 | 72.23 | 86.2 | 24.74 | 67.01 | 46.49 | 48.06 | 68.69 | 66.3 | |
| KgCoOpSource Dataset=ImageNet, Few-shot Setting (Shots)=16 shots2025.12 | 70.66 | 93.92 | 89.83 | 65.41 | 70.01 | 86.36 | 22.51 | 66.16 | 46.35 | 46.04 | 68.5 | 65.51 | |
| CLIP2023.11 | 66.72 | 92.94 | 89.07 | 65.29 | 71.3 | 86.11 | 24.87 | 62.62 | 44.56 | 47.69 | 66.77 | 65.12 | |
| CLIPmode=zero-shot2024.10 | 66.72 | 92.94 | 89.07 | 65.29 | 71.3 | 86.11 | 24.87 | 62.62 | 44.56 | 47.69 | 66.77 | 65.12 |