Automated pig monitoring is important for smart pig farms; thus, several deep-learning-
based pig monitoring techniques have been proposed recently. In applying automated pig …

Pork is the most widely consumed meat product in the world, and achieving accurate
detection of individual pigs is of great significance for intelligent pig breeding and health …

Today's deep learning methods focus on how to design the most appropriate objective
functions so that the prediction results of the model can be closest to the ground truth …

With the development of artificial intelligence technology and the popularity of intelligent
production projects, intelligent inspection systems have gradually become a hot topic in the …

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 …

Pantograph defect of rolling stocks is directly related to its operation safety, so timely
detection of its health status is one of the most important tasks in rolling stocks maintenance …

Automated pig monitoring is an important issue in the surveillance environment of a pig
farm. For a large-scale pig farm in particular, practical issues such as monitoring cost should …

You only look once (YOLO) is a state-of-the-art object detection model which has a novel
architecture that balances model complexity with the inference time. Among YOLO versions …

YOLOv3 is a deep learning-based real-time object detector and is mainly used in
applications such as video surveillance and autonomous vehicles. In this paper, we …

The detection of coal and gangue is an essential part of intelligent sorting. A lightweight coal
and gangue detection algorithm based on You Only Look Once version 5s (Yolov5s) is …