Abstract: We present Sparse R-CNN, a purely sparse method for object detection in images. Existing works on object detection heavily rely on dense object candidates, such as k anchor boxes pre-defined ...

Abstract: Visual object tracking has been a fundamental topic in recent years and many deep learning based trackers have achieved state-of-the-art performance on multiple benchmarks. However, most of ...

As the global landscape changes, many Canadians, including seniors, are facing economic uncertainty because the cost of living is going up. In response, the government is building a strong and stable ...