Abstract: Source-Free Object Detection (SFOD) enables knowledge transfer from a source domain to an unsupervised target domain for object detection without access to source data. Most existing SFOD ...

This project inherits the property of our pytorch implementation of faster r-cnn. Hence, it also has the following unique features: It is pure Pytorch code. We convert all the numpy implementations to ...

Traffic management is an important issue plaguing well-established and rapidly growing cities. Due to bad traffic management and accidents, there is a huge loss in productivity as people spend a lot ...

Abstract: Adverse weather conditions significantly impact the performance of autonomous driving object detection systems, leading to reduced detection accuracy and an increased false detection rate.

Traffic monitoring plays a vital role in smart city infrastructure, road safety, and urban planning. Traditional detection systems, including earlier deep learning models, often struggle with ...