3 accepted papers
Medical image segmentation is a critical task in computer vision, with UNet serving as a milestone architecture. The typical component of UNet family is the skip connection, however, their skip connections face two significant limitations: (1) they lack effective interaction between features at diff…
Depthwise-separable convolution has emerged as a significant milestone in the lightweight development of Convolutional Neural Networks (CNNs) over the past decade. This technique consists of two key components: depthwise convolution, which captures spatial information, and pointwise convolution, whi…
Most attention-embedded networks fall short in effectively integrating spatial / channel-wise information across diverse scales, leading to suboptimal performance for coronary vessels segmentation in X-ray digital subtraction angiography images. To address this limitation, a multi-scale across atten…