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 ...
Highlighted the performance gain provided by Intel® Extension for PyTorch* v1.13.0 over the stock version of the PyTorch v1.13.0. The dataset is first preprocessed using OpenCV and NumPy, and then ...
Abstract: Compared with generic object detection, remote sensing image small object detection typically encounters problems such as information loss, noise characteristic interference, and disturbance ...
The vast majority of matter is dark – invisible until it is detected only through its gravitational effects. The newly discovered object could be a clump of dark matter, or it could also be a compact, ...
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 ...
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