Table 5.

Multiclass classification results, showing the classification performance of the six models on the VAID dataset in terms of accuracy, precision, recall, and F1-score.

	Criteria	Accuracy	Precision	Recall	F1-Score
Models
Dense-TNT s24		0.8753	0.8764	0.9621	0.9173
Dense-TNT s12		0.8579	0.8657	0.9591	0.9100
PoolFormer s24		0.8619	0.8636	0.9679	0.9083
PoolFormer s12		0.8376	0.8401	0.9484	0.8910
ViT l12		0.8229	0.8377	0.9580	0.8938
ViT l2		0.8304	0.8459	0.9441	0.8923