Convolutional networks and transformers for intelligent road tunnel investigations
- Computers & Structures
AMResNet: An automatic recognition model of bird sounds in real environment
- Computer ScienceApplied Acoustics
Exploiting deep learning and augmented reality in fused deposition modeling: a focus on registration
- Computer ScienceInternational Journal on Interactive Design and Manufacturing (IJIDeM)
A Deep Learning (DL) based framework to retrieve in real-time the position and the rotation of an object in need of maintenance from live video frames only and develop a complete mobile CAD system that could be extended to any object that presents a 3D counterpart model is proposed.
Detection of mandibular fractures on panoramic radiographs using deep learning
- MedicineScientific Reports
This study aims to detect mandibular fractures on panoramic radiographs automatically using a deep learning approach based on Faster R-CNN and Swin-Transformer to reduce the misdiagnosis and hence the severe complications.
Investigating Vision Transformer Models for Low-Resolution Medical Image Recognition
- Computer Science, Physics2021 18th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP)
This paper investigates the performance of Vision Transformer on low-level medical images and contrast it with convolutional neural networks and shows that Convolutional Neural Network outperforms the Vision Trans transformer-based models on all four datasets.
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The current study aimed to systematically review the literature addressing the use of deep learning (DL) methods in intraoperative surgery applications, focusing on the data collection, the…
End-to-End Object Detection with Transformers
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