Considering this, this paper conducts a comprehensive survey of precise boundary recovery for semantic segmentation, focusing mainly on 2D images and 3D point clouds. Firstly, we formulate the problem of potential boundary recovery for semantic segmentation based on DCNNs, elaborate on the terminology ...
这通常以separated semantic segmentation分离的语义分割或instance completion实例补全的形式来完成,以改进对SSC的输入。Sketch supervision素描监督,几乎没有成本,特别有助于提高室内性能,但考虑到更大的语义几何差异(比如植被),对于室外场景可能受益较小。在网络上,sparse convolution稀疏卷积可以减少内存需求,从而实现更高...
图像语义分割(Semantic segmentation) Survey NoahSYZhang On a Slow Boat to China 多图预警!这学期选了一门CV的课,最后老师让做一个Survey,选了semantic segmentation这个课题,最后还要我们做presentation,这里把自己组做的slide放出来,供大家… 阅读全文 ...
[CVPR2019] Collaborative Global-Local Networks for Memory-Efficient Segmentation of Ultra-High Resolution Images 二、解决的办法(What) 为了解决超高分辨率语义分割,低分辨率全局分割和高分辨率局部分割之间由于过大的尺度差异导致的结果差异过大难以融合的问题,本文提出了MagNet,不直接融合极大和极小尺度的分割结果,而...
Image Segmentation has been an active field of research as it has a wide range of applications, ranging from automated disease detection to self-driving ca... S Jadon - 《Software Impacts》 被引量: 0发表: 2021年 A Survey of Deep Semantic Segmentation on Computed Tomography In this survey, ...
Rethinking BiSeNet For Real-time Semantic Segmentation 一言以蔽之:提模块,弃支路,想法和效果都能打 1.Abstract BiSeNet是实时分割领域主流的双流(two-stream)网络。然而BiSeNet增加支路去编码空间信息的做法是耗时的,而且直接使用诸如分类等预训练任务的骨干网络进行分割任务是不合理的。为了解决以上问题,我们移除了冗余...
Abstract 基本任务:大规模点云上的语义分割 一方面,为了减少邻近点的歧义,通过充分利用双边结构中的几何和语义特征来增加它们的局部上下文。 另一方面,全面地从多个分辨率中提取点的存在性,并在点级按照自适应融合方法表示特征图,以实现精确的语义分割。 Introduction
Progressive Semantic Segmentation (MagNet) MagNet, a multi-scale framework that resolves local ambiguity by looking at the image at multiple magnification levels, has multiple processing stages, where each stage corresponds to a magnification level, and the output of one stage is fed into the next ...
Combining 2D segmentation and 3D geometry information, dense point clouds with semantic labels are generated by a probability-based semantic fusion method. In the final stage, the coarse 3D semantic point cloud is optimized by both local and global refinements. By making full use of the Multi-...
* 题目: Multi-Scale Feature Fusion: Learning Better Semantic Segmentation for Road Pothole Detection* 链接: arxiv.org/abs/2112.1308* 作者: Jiahe Fan,Mohammud J. Bocus,Brett Hosking,Rigen Wu,Yanan Liu,Sergey Vityazev,Rui Fan* 其他: 2021 IEEE International Conference on Autonomous Systems (...