资讯

Retinal-vessel-segmentation 项目简介 Retinal-vessel-segmentation 是一个基于 UNet 的视网膜血管分割项目,采用了 DRIVE 数据集进行训练和测试。 项目使用 PyTorch 框架实现,提供了从数据准备到模型训练和测试的完整流程。 通过运行本项目,可以获得视网膜血管的分割结果图。
Seg-Zero employs a decoupled architecture, including a reasoning model and segmentation model. We manually design a sophiscated reward mechanism that integrates both the format and accuracy rewards.
In this paper, we introduce a deep encoder-decoder network, named SalsaNet, for efficient semantic segmentation of 3D LiDAR point clouds. SalsaNet segments the road, i.e. drivable free-space, and ...
How to effectively identify vehicles in synthetic aperture radar (SAR) images is a challenging problem in the SAR image understanding community. Compared with the bounding-box-based localization by ...
A new, tree-like assembly line will be built to improve build times.