In respect of pig instance segmentation, the application of traditional computer vision
techniques is constrained by sundries barrier, overlapping, and different perspectives in the …

Simple Summary In this study, we propose a grouped attention module that combines
channel attention and spatial attention simultaneously and applies it to a feature pyramid …

Pig instance segmentation is a challenging task for group-housed pigs in complex scenes
due to variable light and pig's occlusion. In this paper, an instance segmentation approach …

The separation of individual pigs from the pigpen scenes is crucial for precision farming, and
the technology based on convolutional neural networks can provide a low-cost, non-contact …

Instance segmentation is an accurate and reliable method to segment adhesive pigs'
images, and is critical for providing health and welfare information on individual pigs, such …

Simple Summary With the development of computer vision, more work is applied to promote
precision livestock farming. Due to the high overlap and irregular contours of sheep, it poses …

Computer vision enables the development of new approaches to monitor the behavior,
health, and welfare of animals. Instance segmentation is a high-precision method in …

Accurate segmentation and analysis for each animal in surveillance video images will help
poultry farmers to monitor and promote animal welfare. However, it is challenging to …

Livestock image segmentation is an important task in the field of vision and image
processing. Since utilizing the concentration of forage in the grazing area with shielding the …

Agricultural image segmentation needs to catch up to the development speed of deep
learning, and the explosive computational overhead and limited high-quality labeled …