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 ...
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 ...
title={3D Semantic Scene Completion: a Survey}, author={Roldao, Luis and de Charette, Raoul and Verroust-Blondet, Anne}, journal={arXiv preprint arXiv:2103.07466}, year={2021} } 摘要 语义场景补全SSC旨在联合估计出一个场景完整的几何和语义信息,假设只需要部分稀疏输入数据。在过去几年,随着大规...
Semi-Supervised Semantic Segmentation Based on Pseudo-Labels: A Survey Semantic segmentation is an important and popular research area in computer vision that focuses on classifying pixels in an image based on their semantics... L Ran,Y Li,G Liang,... 被引量: 0发表: 2024年 A Survey of Sem...
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
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...
This paper studies the context aggregation problem in semantic image segmentation. The existing researches focus on improving the pixel representations by aggregating the contextual information within individual images. Though impressive, these methods neglect the significance of the representations of the pixe...
NeurIPS 2021 Abtract This paper introduces a solid state-of-the-art baseline for a class-incremental semantic segmentation (CISS) problem. While the recent CISS algorithms utilize variants of the knowledge distillation (KD) technique to tackle the problem, they failed to fully address the critical...
[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...
* 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 (...