In the image classification task, we only need to learn local features, but in the image segmentation task, we also need to learn positional information. Therefore, there is a difference between the image segmentation task and the image classification task in the features to be learned. In this study, we propose SE-U-Net++, which efficiently learns both local features and positional information by
![Kinect深度情報処理入門](https://cdn-ak-scissors.b.st-hatena.com/image/square/7e0aef5a6c98faaab4743dd2047082834504088f/height=288;version=1;width=512/https%3A%2F%2Fcdn.slidesharecdn.com%2Fss_thumbnails%2Fkinect-130330001906-phpapp02-thumbnail.jpg%3Fwidth%3D640%26height%3D640%26fit%3Dbounds)