Two-branch network architecture has shown its efficiency and effectiveness in real-time
semantic segmentation tasks. However, direct fusion of high-resolution details and low …

Skin lesion segmentation is a computer-aided diagnosis method for quantitative analysis of
melanoma that can improve efficiency and accuracy. Although many methods based on U …

Image segmentation is the task of associating pixels in an image with their respective object
class labels. It has a wide range of applications in many industries including healthcare …

Optimizing the computational efficiency of the artificial neural networks is crucial for resource-
constrained platforms like autonomous driving systems. To address this challenge, we …

Deep learning plays an important role in crack segmentation, but most work utilize off-the-
shelf or improved models that have not been specifically developed for this task. High …

In recent years, the rapid development of deep learning has brought great advancements to
image and video segmentation methods based on neural networks. However, to unleash the …

Machine learning and deep learning algorithms are widely used in computer science
domains. These algorithms are mostly used for classification and regression problems in …

Automatic segmentation of skin lesions is a pivotal task in computer-aided diagnosis,
playing a crucial role in the early detection and treatment of skin cancer. Despite the …

The wide application of small mobile devices makes the demand for lightweight real-time
semantic segmentation algorithm become more and more intense, which makes it become …

In this paper, we focus on exploring effective methods for faster and accurate semantic
segmentation. A common practice to improve the performance is to attain high-resolution …