Novel Class Discovery for 3D Point Cloud Semantic Segmentation
Luigi Riz, Cristiano Saltori, Elisa Ricci, Fabio Poiesi
2023年份
8顶会引用
摘要
Novel Class Discovery road vegetation base classes vehicle novel classes rider vegetation road rider vehicle vehicle predictions vegetation road supervision unlabelled ? unlabelled ? unlabelled ? Novel Class Discovery vehicle novel classes rider road vegetation base classes Figure 1. Novel Class Discovery for 3D point cloud semantic segmentation seeks to recognise novel classes by clustering unlabelled novel points with similar semantic features and by exploiting only the knowledge of a set of labelled samples corresponding to the base classes.
问问这篇 Paper
智能体会读完全文。
Lune 把这篇 Paper 索引到了每一个公式,引用它的顶会 Paper 也一样。你提问,回答直接引用原文。
引用它的顶会 Paper8
- Towards Label-free Scene Understanding by Vision Foundation ModelsRunnan Chen, Youquan Liu, Lingdong Kong, Nenglun Chen 等NeurIPS 2023 · 被引用 82 次
- Learn to Categorize or Categorize to Learn? Self-Coding for Generalized Category DiscoverySarah Rastegar, Hazel Doughty, Cees SnoekNeurIPS 2023 · 被引用 55 次
- Novel Class Discovery for Point Cloud Segmentation via Joint Learning of Causal Representation and ReasoningYang Li, Aming Wu, Zihao Zhang, Yahong HanNeurIPS 2025 · 被引用 2 次
- Generalized Class Discovery in Instance SegmentationCuong Manh Hoang, Yeejin Lee, Byeongkeun KangAAAI 2025 · 被引用 2 次
- Building a Strong Pre-Training Baseline for Universal 3D Large-Scale PerceptionHaoming Chen, Zhizhong Zhang, Yanyun Qu, Ruixin Zhang 等CVPR 2024
它引用的顶会 Paper19
- Unsupervised Learning of Visual Features by Contrasting Cluster AssignmentsMathilde Caron, Ishan Misra, Julien Mairal, Priya Goyal 等NeurIPS 2020 · 被引用 5,249 次
- KPConv: Flexible and Deformable Convolution for Point CloudsHugues Thomas, Charles R. Qi, Jean-Emmanuel Deschaud, Beatriz Marcotegui 等ICCV 2019 · 被引用 3,193 次
- SemanticKITTI: A Dataset for Semantic Scene Understanding of LiDAR SequencesJens Behley, Martin Garbade, Andres Milioto, Jan Quenzel 等ICCV 2019 · 被引用 2,345 次
- Invariant Information Clustering for Unsupervised Image Classification and SegmentationXu Ji, Andrea Vedaldi, João F. HenriquesICCV 2019 · 被引用 956 次
- Self-labelling via simultaneous clustering and representation learningYuki Markus Asano, Christian Rupprecht, Andrea VedaldiICLR 2020 · 被引用 873 次
相关 Paper
- Geometric-Aware Hypergraph Reasoning for Novel Class Discovery in Point Cloud SegmentationZihao Zhang, Aming Wu, Li Yang, Yahong Han 等CVPR 2026
- Learning to Discover and Detect ObjectsVladimir Fomenko, Ismail Elezi, Deva Ramanan, Laura Leal-Taixé 等NeurIPS 2022 · 被引用 14 次
- Meta Discovery: Learning to Discover Novel Classes given Very Limited DataHaoang Chi, Feng Liu, Wenjing Yang, Long Lan 等ICLR 2022 · 被引用 52 次
- Semantic-Guided Novel Category DiscoveryWeishuai Wang, Ting Lei, Qingchao Chen, Yang LiuAAAI 2024 · 被引用 3 次
- Novel Class Discovery in Semantic SegmentationYuyang Zhao, Zhun Zhong, Nicu Sebe, Gim Hee LeeCVPR 2022 · 被引用 27 次
