Open-world Semantic Segmentation for LIDAR Point Clouds

Cen, Jun; Peng, Yun; Zhang, Shiwei; Cai, Junhao; Luan, Di; Tang, Mingqian; Liu, Ming; Wang, Michael Yu

doi:10.1007/978-3-031-19839-7_19

Cited by 19 publications

(10 citation statements)

References 31 publications

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“…The seminal point cloud anomaly detection method REAL (Cen et al 2022) lacks a principled framework, hindering both theoretical and experimental analysis. So we first formalize the definition of SC and put different methods under a unified theoretical lens.…”

Section: Selective Classification Problem Formulationmentioning

confidence: 99%

“…RGB-based road anomaly detection draws a lot of attention recently from both academia and industry and sees remarkable progress (Tian et al 2022;Liu et al 2022; Tian et al 2023). By contrast, LiDAR-based anomaly detection (Cen et al 2022) is still in a very early stage and reports poor quantitative results on public benchmarks. The focus of this study is to address this important yet challenging problem.…”

Section: Introductionmentioning

confidence: 99%

“…Formulation. REAL (Cen et al 2022) exploits dummy classifiers to aggregate information in anomalous objects, arXiv:2309.10230v2 [cs.CV] 20 Sep 2023 which is spiritually similar to Selective Classification (SC) (Feng et al 2023). We reformulate the point cloud anomaly detection problem strictly using the principle of SC.…”

Section: Introductionmentioning

confidence: 99%

“…Data. The SOTA method (Cen et al 2022) synthesizes pseudo anomalous objects by resizing known objects, as shown in the upper panel of Fig. 1-(b).…”

Section: Introductionmentioning

confidence: 99%

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T109 Evaluation of the GEM® Premier™ 5000 with intelligent quality management 2 (IQM®2) at Beijing Tsinghua Changgung Hospital, Tsinghua University (Beijing, China)

Tang²

2022

Clinica Chimica Acta

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Section: Selective Classification Problem Formulationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

“…Data. The SOTA method (Cen et al 2022) synthesizes pseudo anomalous objects by resizing known objects, as shown in the upper panel of Fig. 1-(b).…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

T109 Evaluation of the GEM® Premier™ 5000 with intelligent quality management 2 (IQM®2) at Beijing Tsinghua Changgung Hospital, Tsinghua University (Beijing, China)

Tang²

2022

Clinica Chimica Acta

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“…To reduce the fluctuation during CL, Lin et al [117] perform contrastive learning with visual similarity and feature affinity on unseen classes. Besides, metric-learning based methods [118], [119] are applied in open-world semantic segmentation covering 2D scenes [120], [121] to 3D modeling [122], [123], [124], [125].…”

Section: Self-supervised Mannermentioning

confidence: 99%

Ecosystem Health of the Beiyun River Basin (Beijing, China) as Evaluated by the Analytic Hierarchy Process Method

Yuan

Zhao

et al. 2021

Preprint

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Ecosystem services provided by river ecosystems rely on healthy ecosystem structure and ecological processes. The Beijing-Tianjin-Hebei urban is a typical water-deficient area. As an important part of the urban-rural integration construction, evaluating the health status of the Beiyun River Basin and discovering the weak links in the water environment is the basis for improving the health of the basin. In this study, Analytic Hierarchy Process was used to establish an evaluation index system for the Beiyun River Basin from 5 aspects including water quality, biology, habitat, hydrology, and social functions, and to assign weights to the index layer. The evaluation results showed that the health evaluation results of the Beiyun River Basin in 2019 are “sub-healthy”, and the overall health status is gradually worsening from northwest to southeast. In the middle reaches of the region, the evaluation result is "healthy", followed by the upstream, and the downstream is the worst. The results showed that areas with less human interference are in better health. The factors that affect the overall health evaluation status in the basin are the level of nutrition, biodiversity, and vegetation coverage. For the comprehensive management of the Beiyun River, the improvement of water quality and habitat ecological restoration is the key to the health of the upstream ecosystem health status. The improvement of the health status of the downstream should focus on equal emphasis on water quality and quantity, restoration of biodiversity, and improvement of the quality of the riparian ecological environment.

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