Table 1 Pretrained models’ parameters. The models include different variations of EfficientNet (B0-B7) and CLIP-based architectures, such as RN50, RN101, and vision transformer (ViT) models. These models are evaluated for their generalization performance in our benchmarking testbed.

From: A practical generalization metric for deep networks benchmarking