A Study on Semantic Segmentation for Small Objects in High-resolution Aerial Images based on Mask R-CNN and HRNet

This paper studies semantic segmentation for small objects in high-resolution aerial images using Mask R-CNN and HRNet.

Recommended citation: Sicong Wang, Xijun Zhang, Yujie Yin, Xiyuan Wang, and Longrui Yang. "A Study on Semantic Segmentation for Small Objects in High-resolution Aerial Images based on Mask R-CNN and HRNet." 2024 16th International Conference on Machine Learning and Computing, October 2023. Accepted.