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
For the fully supervised semantic segmentation, if a transformation is performed on an input image, its pixel-level prediction should follow the same transformation. This is named transformation consistency property. Transformation consistency has been investigated recently in image label based weak ...
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。
· 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...
《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。
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...
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。
CLIP is Also an Efficient Segmenter: A Text-Driven Approach for Weakly Supervised Semantic Segmentation论文阅读笔记 摘要 文章提出了一种利用CLIP模型进行弱监督语义分割的新方法,称为CLIP-ES,它能够在不需要额外训练的情况下,仅使用图像级标签就能生成高质量的分割掩码。它通过对CLIP进行特殊设计来改进WSSS的三...
Weakly supervised semantic segmentationAttention selection class-aware attention-based affinityBox mask denoisingSAM masks selection and fusionSAMWeakly supervised semantic segmentation (WSSS), training segmentation models via image-level labels, has the advantage of low manual annotation cost compared with ...
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 annotations). However, in the weakly-...