Lovely firefly!

**摘要：**To segment 4K or 6K ultra high-resolution images needs extra computation consideration in image segmentation. Common strategies, such as down-sampling, patch crop- ping, and cascade model, cannot address well the balance issue between accuracy and computation cost. Motivated by the fact that humans distinguish among objects continu- ously from coarse to precise levels, we propose the Contin- uous Refinement Model (CRM) for the ultra high-resolution segmentation refinement task. CRM continuously aligns the feature map with the refinement target and aggregates fea- tures to reconstruct these image details. Besides, our CRM shows its significant generalization ability to fill the resolu- tion gap between low-resolution training images and ultra high-resolution testing ones. We present quantitative per- formance evaluation and visualization to show that our pro- posed method is fast and effective on image segmentation refinement. Code is available at https://github.com/dvlab-research/Entity/tree/main/CRM.

https://segment-anything.com

Snipaste_2025-02-24_20-51-25

预测目标的轮廓

Snipaste_2025-02-24_14-54-56

Snipaste_2025-02-24_14-03-50

Snipaste_2025-02-25_10-19-29

Anaconda的安装主要是为了方便环境管理，可以同时在一个电脑上安装多种环境，不同环境放置不同框架：pytorch、tensorflow、keras可以在不同的环境下安装，只需要使用conda create –n创建新环境即可。

LaTeX 作为一种强大的排版系统，对于理工科，特别是公式比较多的数学专业（秃头专业），其重要性自不必多说，不在本文探讨范围之内。