Active Fine-tuning on Cifar10 imb
85.2F-Accuracy (2%)BRAL-T
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| BRAL-TBackbone=Deit-Small, Pre-trained=DINO framework on ImageNet-1k, Resolution=224 x 224, Initial labeled subset=1%, Active learning iteration increment=1%, Batch size=512, Epochs=1000, Optimizer=SGD2026.04 | 85.2 | 86.5 | |
| RandomSampleBackbone=Deit-Small, Pre-trained=DINO framework on ImageNet-1k, Resolution=224 x 224, Initial labeled subset=1%, Active learning iteration increment=1%, Batch size=512, Epochs=1000, Optimizer=SGD2026.04 | 84.1 | 85.6 | |
| ActiveFTBackbone=Deit-Small, Pre-trained=DINO framework on ImageNet-1k, Resolution=224 x 224, Initial labeled subset=1%, Active learning iteration increment=1%, Batch size=512, Epochs=1000, Optimizer=SGD2026.04 | 83.8 | 85.1 |