Object detection is an emerging and essential problem in recent years, which has been
widely applied in many aspects of daily life such as video surveillance, self-driving robots …

There are a huge number of features which are said to improve Convolutional Neural
Network (CNN) accuracy. Practical testing of combinations of such features on large …

For years, the YOLO series has been the de facto industry-level standard for efficient object
detection. The YOLO community has prospered overwhelmingly to enrich its use in a …

Object detection is an essential computer vision task that possesses extensive application
prospects in on-road applications. Copious novel methods have been proposed in this …

Despite being a core topic for more than several decades, object detection is still receiving
increasing attentions due to its irreplaceable importance in a wide variety of applications …

Object detection with Unmanned Aerial Vehicles (UAVs) has attracted much attention in the
research field of computer vision. However, not easy to accurately detect objects with data …

As autonomous vehicles and autonomous racing rise in popularity, so does the need for
faster and more accurate detectors. While our naked eyes are able to extract contextual …

With the rapid advancements in the field of autonomous driving, the need for faster and more
accurate object detection frameworks has become a necessity. Many recent deep learning …

With the development of deep convolutional networks, significant advances in object
detection task have been achieved. However, for applications in autonomous vehicles, it is …

Regular security facilities check plays a key role in preventing potential dangers in
production safety. Those facilities generally include helmets, protective suits, and fire …