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Found 7 papers, 1 papers with code
Traffic Sign Recognition Using Local Vision Transformer
The experimental evaluations demonstrate that the hybrid network with the locality module outperforms pure transformer-based models and some of the best convolutional networks in accuracy.
MedViT: A Robust Vision Transformer for Generalized Medical Image Classification
Convolutional Neural Networks (CNNs) have advanced existing medical systems for automatic disease diagnosis.
Pyramid Transformer for Traffic Sign Detection
The results demonstrate the superiority of the proposed model in the traffic sign detection tasks.
Automatic Breast Lesion Detection in Ultrafast DCE-MRI Using Deep Learning
Purpose: We propose a deep learning-based computer-aided detection (CADe) method to detect breast lesions in ultrafast DCE-MRI sequences.
Ensembles of Deep Neural Networks for Action Recognition in Still Images
A big challenge in action recognition in still images is the lack of large enough datasets, which is problematic for training deep Convolutional Neural Networks (CNNs) due to the overfitting issue.
Visual Object Tracking based on Adaptive Siamese and Motion Estimation Network
Visual object tracking is one of the interesting and important areas in computer vision that achieves remarkable improvements in recent years.
Patchwise object tracking via structural local sparse appearance model
Two sets of overlapping patches with different sizes are extracted from target candidates to construct two dictionaries with consideration of joint sparse representation.
