Fine-tuning a Faster R-CNN object detection model using PyTorch for improved object detection accuracy. This repository provides a Jupyter Notebook that takes you through the steps of re-training a ...

in 2015. Faster R-CNN builds on previous work (Fast R-CNN) to efficiently detect and classify object proposals using deep convolutional neural networks (D-CNNs). Compared to Fast R-CNN, Faster R-CNN ...

Abstract: Object detection is a fundamental problem in image analysis and understanding. Lots of progress have been acquired on object detection due to the introduction of deep ... Moreover, Faster ...

Additionally, the paper discuss the advantages and limitations of different object detection frameworks such as YOLO, Faster R-CNN, and Mask R-CNN. Finally, the paper puts foward a conceptual ...

Experiments on the Caltech pedestrian dataset show improvements on detection accuracy with the semantic network. With the deep VGG16 model, our pedestrian detection method achieves robust detection ...

Neural networks (NNs) are now being extensively utilized in various artificial intelligence platforms specifically in the area of image classification and real-time object ... detection using a Zynq ...