Researchers find that "object recognition" ability, rather than intelligence or tech experience, determines who can best ...
The research team used two distributed sensors and leveraged two quantum resources for increasing detection sensitivity: squeezing, characterized by reduced quantum noise below the classical optical ...
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 ...
├── configs/ │ └── pointpillars.yaml │ ├── datasets/ │ └── nuscenes_dataset.py │ ├── models/ │ ├── pointpillars.py │ ├── pillar_encoder.py │ └── losses.py │ ├── utils ...
Abstract: Object detection technology plays an essential role in uncrewed aerial vehicle (UAV) sea search and rescue missions, which aim to quickly locate crucial targets such as trapped people and ...
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 ...
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 ...
How do we know 3I/ATLAS, also called comet C/2025 N1 (ATLAS), is interstellar? Will it strike Earth? Can we visit it? Here are all of your questions answered. When you purchase through links on our ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results