[IGARSS ORAL 2026] Official implementation of SyntheticGen: “Mitigating Long-Tail Bias via Prompt-Controlled Diffusion Augmentation” — controllable synthetic data generation for long-tailed remote-sensing semantic segmentation with class-ratio and domain control.
loveda 开源项目推荐(6 个)
loveda 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 全部 6
GitHub 共 6 个仓库,已全部展示HAFR-Net (Int. J. Appl. Earth Obs. Geoinf., under review): identity-initialized refinement of a pretrained Swin-B for VHR aerial image segmentation. LoveDA weights released.
Multi-scale self-attention ConvTransformer (MSSACT-Net) for high-resolution land-cover segmentation: LoveDA benchmark, baseline comparison, module ablation, training-strategy search, and a label-quality ceiling study
Remote sensing image segmentation using SAM, GroundingDINO, and PerSAM with automatic, point, text-prompt, and one-shot workflows, deployed on Hugging Face Spaces using Gradio.
Partial cross-entropy for point-supervised land-cover segmentation: 92% of fully supervised mIoU from 0.3% of the labels, on LoveDA.
PyTorch research project exploring sparse point supervision for LoveDA remote-sensing segmentation with DeepLabV3+ and custom partial cross-entropy.
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 6 个项目;原始页面见 https://github.com/topics/loveda。
- 该话题在 GitHub 上共有 6 个仓库, 本站收录的是其中最热门的 6 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 6 个项目累计 16 Star,覆盖 2 种主要语言,数据更新于 2026-11-10。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。