Google has reportedly initiated the TorchTPU project to enhance support for the PyTorch machine learning framework on its ...
Abstract: To enhance traffic sign object detection further, this paper proposes a method that combines the SSD (Single Shot MultiBox Detector) model with FPN (Feature Pyramid Network) fusion for ...
This repository contains an efficient implementation of Kolmogorov-Arnold Network (KAN). The original implementation of KAN is available here. The problem is in the sparsification which is claimed to ...
Abstract: Driver drowsiness remains a major cause of traffic accidents, requiring a drowsiness detection system to achieve high accuracy and real-time inference speed. To overcome these challenges, we ...
A Simple Pipeline to Train PyTorch FasterRCNN Model Train PyTorch FasterRCNN models easily on any custom dataset. Choose between official PyTorch models trained on COCO dataset, or choose any backbone ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback