[Semantic-Segment-Anything] 其架构如下图所示,通过一个分割的分支得到边界粗糙但类别准确的mask,然后另一个分支通过sam预测无标签的mask,通过语义投票模块(裁剪出mask对应区域得到类别,取top-1的类别作为mask的类别),合并2个分支的mask和标签,得到有标签的mask 。 ssa流程 1.3 辅助instance segmentation [Prompt-Segm...
前些日子，Meta放出了他们在CV领域最新的项目——Segment Anything Project，涉及到了图像分割领域的新任...
1、 Segment Anything Model (SAM) Enhanced Pseudo Labels for Weakly Supervised Semantic Segmentation Tianle Chen, Zheda Mai, Ruiwen Li, Wei-lun Chao 图像级监督的弱监督语义分割(WSSS)由于其标注成本较像素级标注低而受到越来越多的关注。大多数现有方法依赖于类激活图(Class Activation Maps, CAM)来生成...
1、 Segment Anything Model (SAM) Enhanced Pseudo Labels for Weakly Supervised Semantic Segmentation Tianle Chen, Zheda Mai, Ruiwen Li, Wei-lun Chao https://arxiv.org/abs/2305.05803 图像级监督的弱监督语义分割(WSSS)由于其标注成本较像素级标注低而受到越来越多的关注。大多数现有方法依赖于类激活图(...
Segment-Anything的一些相关论文总结 1、 Segment Anything Model (SAM) Enhanced Pseudo Labels for Weakly Supervised Semantic Segmentation Tianle Chen, Zheda Mai, Ruiwen Li, Wei-lun Chao 图像级监督的弱监督语义分割(WSSS)由于其标注成本较像素级标注低而受到越来越多的关注。大多数现有方法依赖于类激活图(...
1、 Segment Anything Model (SAM) Enhanced Pseudo Labels for Weakly Supervised Semantic Segmentation Tianle Chen, Zheda Mai, Ruiwen Li, Wei-lun Chao https://arxiv.org/abs/2305.05803 图像级监督的弱监督语义分割(WSSS)由于其标注成本较像素级标注低而受到越来越多的关注。大多数现有方法依赖于类激活图(...
1.3 辅助instance segmentation 1.3.1 Prompt-Segment-Anything 这是使用 Segment Anything 的零样本实例分割的实现。该存储库基于 MMDetection,并包含来自 H-Deformable-DETR 和 FocalNet-DINO 的一些代码。 集成检测模型,先用检测模型得到label和box,然后用box作为prompt,得到instance的mask。
1MANet: Fine-Tuning Segment Anything Model forMultimodal Remote Sensing Semantic SegmentationXianping Ma, Xiaokang Zhang, Man-On Pun, and Bo HuangAbstract—Multimodal remote sensing data, collected from avariety of sensors, provide a comprehensive and integrated per-spective of the Earth’s surface....
Segment-Anything Models Achieve Zero-shot Robustness in Autonomous Driving 来自 arXiv.org 喜欢 0 阅读量: 1 作者:J Yan,P Wang,D Wang,W Huang,D Watzenig,H Yin 摘要: Semantic segmentation is a significant perception task in autonomous driving. It suffers from the risks of adversarial examples....
4.2 Semantic Segmentation of Anything 4.3 Abaltions 4.4 Visualization 5 Related works 5.1 Generic Segmentation 5.2 Part Segmentation 5.3 Open-Vocabulary Segmentation 5.4 Interactive Segmentation 6 Conclusion 在本文中,我们提出了Semantic-SAM,它可以以任何所需的粒度分割和识别任何东西。除了进行通用的开放式词汇...