Image Classification on CIFAR10C, CIFAR100C, Caltech 101, Dtd, Oxford pets, ucf101, ImageNet A (test)
66.95CIFAR10C AccLQA
Evaluation results
| Method | Links | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| LQAStrategy=Test-Time Adaptation, Precision=Quantized, Variant=Full2026.02 | 66.95 | 40.44 | 93.79 | 45.39 | 89.75 | 71.11 | 51.46 | 65.56 | |
| SARStrategy=Test-Time Adaptation2026.02 | 66.94 | 38.43 | 92.37 | 44.62 | 87.54 | 63.94 | 49.1 | 63.28 | |
| EATAStrategy=Test-Time Adaptation2026.02 | 66.75 | 40.56 | 92.62 | 44.74 | 88.06 | 65.11 | 49.88 | 64.33 | |
| TDAStrategy=Test-Time Adaptation2026.02 | 65.25 | 38.5 | 94.28 | 45.45 | 89.62 | 70.05 | 51.63 | 64.97 | |
| LQA-LiteStrategy=Test-Time Adaptation, Precision=Quantized, Variant=Lite2026.02 | 65.03 | 38.48 | 93.96 | 45.15 | 88.25 | 68.73 | 48.25 | 63.98 | |
| TENTStrategy=Test-Time Adaptation2026.02 | 64.96 | 34.79 | 92.17 | 45.21 | 87.6 | 65 | 49.84 | 62.8 | |
| CLIPMode=Zero-shot / Baseline2026.02 | 60.19 | 32 | 91.56 | 44.56 | 87.16 | 63.89 | 47.97 | 61.05 |