Directly inherited from ViT (DeiT), YOLOS is not designed to be yet another high-performance object detector, but to unveil the versatility and transferability of Transformer from image recognition to ...
Official implementation of Transformer Interpretability Beyond Attention Visualization. We introduce a novel method which allows to visualize classifications made by a Transformer based model for both ...
The automated classification of rock images is of paramount importance in geological analysis, as it serves as the foundational criterion for the categorization of rock lithology. Despite recent ...
Abstract: In recent studies, convolutional neural networks (CNNs) are mostly used as dynamic techniques for visualization-based malware classification and detection. Though vision transformer (ViT) ...
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