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Found 4 papers, 3 papers with code
Dilated-UNet: A Fast and Accurate Medical Image Segmentation Approach using a Dilated Transformer and U-Net Architecture
Medical image segmentation is crucial for the development of computer-aided diagnostic and therapeutic systems, but still faces numerous difficulties.
MedViT: A Robust Vision Transformer for Generalized Medical Image Classification
Convolutional Neural Networks (CNNs) have advanced existing medical systems for automatic disease diagnosis.
Robust Transformer with Locality Inductive Bias and Feature Normalization
In this paper, we explore the robustness of vision transformers against adversarial perturbations and try to enhance their robustness/accuracy trade-off in white box attack settings.
Pyramid Transformer for Traffic Sign Detection
The results demonstrate the superiority of the proposed model in the traffic sign detection tasks.
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