Weakly supervised semantic segmentation (WSSS) using image-level labels greatly alleviates the burden of obtaining large amounts of pixel-wise annotations. To create pseudo segmentation labels, most WSSS algori
弱监督论文简读:Joint Learning of Saliency Detection and Weakly Supervised Semantic Segmentation,程序员大本营,技术文章内容聚合第一站。
《Mining Cross-Image Semantics for Weakly Supervised Semantic Segmentation》阅读笔记,程序员大本营,技术文章内容聚合第一站。
· RTFormer: Efficient Design for Real-Time Semantic Segmentation with Transformer概述 · CLIP is Also an Efficient Segmenter: A Text-Driven Approach for Weakly Supervised Semantic Segmentation论文阅读笔记 · 位置感知的自监督transformer · 关于语义分割的亿点思考 阅读排行: · C#/.NET/.NET Co...
Formally, we denote the semantic segmentation function asF(·), and suppose there is a transformation function T(·) for each image sample X. The segmentation function is expected to be equivariant,i.e.,F(T(X))=T(F(X)). However, the two results are not equal in most cases. In ...
GitHub - Juliachang/SC-CAM: SC-CAM: Weakly-Supervised Semantic Segmentation via Sub-category Exploration (CVPR 2020) 一、要解决的问题(Why) 本文关注的是使用图像分类标签(image-level albel)的弱监督语义分割任务,主流使用图像分类标签的弱监督语义分割方法可分为三步: 预测初始的类别响应图来定位目标 对初...
The semantic segmentation task is to assign a label from a label set to each pixel in an image. In the case of fully supervised setting, the dataset consists of images and their corresponding pixel-level class-specific annotations (expensive pixel-level
2.1. Weakly Supervised Semantic Segmentation WSSS中主要探讨了四种类型的弱标签,包括图像级标签[2,18]、点[3]、涂鸦[20,37]和包围框[10,17,26]。特别地,由于图像级标签最容易获得,大多数作品都是为图像级WSSS设计的。我们的工作还侧重于形象层面的监督。
论文题目:Uncertainty-aware Superpoint Graph Transformer for Weakly Supervised 3D Semantic Segmentation 作者:范妍(博士研究生), 王煜, 朱鹏飞, 惠乐,谢晋, 胡清华 论文概述: 弱监督3D语义分割有效减轻了3D点云标注这一繁琐且耗时的工作。然而,在复杂和大规模场景中,如何可靠地利用...
Weakly supervised semantic segmentation (WSSS), training segmentation models via image-level labels, has the advantage of low manual annotation cost compared with fully supervised semantic segmentation. However, the masks generated by the currently fashionable methods based on the Class Activation Map (...