Balancing Accuracy, Calibration, and Efficiency in Active Learning with Vision Transformers Under Label Noise

Moseli Mots'oehli, Hope Mogale, Kyungim Baek

Fine-tuning pre-trained convolutional neural networks on ImageNet for downstream tasks is well-established. Still, the impact of model size on the performance of vision transformer…