Apr 7, 2020 · SA-UNet introduces a spatial attention module which infers the attention map along the spatial dimension, and multiplies the attention map by ...

SA-UNet introduces a spatial attention module which infers the attention map along the spatial dimension, and multiplies the attention map by the input feature ...

This code is for the paper: Spatial Attention U-Net for Retinal Vessel Segmentation. We report state-of-the-art performances on DRIVE and CHASE DB1 datasets.

In this work, we propose a lightweight network named Spatial Attention U-Net (SA-UNet) that does not require thousands of annotated training samples and can be ...

In this work, we propose a lightweight network named Spatial Attention U-Net. (SA-UNet) that does not require thousands of annotated training samples and can be ...

Apr 7, 2020 · Segmentation of retinal vessels in fundus images based on U-Net with self-calibrated convolutions and spatial attention modules · Computer ...

SA-UNet is a lightweight network for vessel segmentation that incorporates a spatial attention module and structured dropout convolutional blocks to improve ...

SA-UNet: Spatial Attention U-Net for Retinal Vessel Segmentation. This is an unofficial PyTorch implementation of SA-UNet.

Apr 21, 2020 · SA-UNet introduces a spatial attention module which infers the attention map along the spatial dimension, and then multiply the attention map by ...

Spatial Attention U-Net (SA-. UNet) is a lightweight network, which introduces a spatial at- tention module to expand receptive field and obtain more spa- tial ...