mlsanityData to 7 Oct 2026

Transductive Zero-Shot Learning for 3D Point Cloud Classification

arXiv 1912.07161 ↗First posted 16 Dec 2019cs.CVcited by 39

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Abstract (arXiv)

Zero-shot learning, the task of learning to recognize new classes not seen during training, has received considerable attention in the case of 2D image classification. However despite the increasing ubiquity of 3D sensors, the corresponding 3D point cloud classification problem has not been meaningfully explored and introduces new challenges. This paper extends, for the first time, transductive Zero-Shot Learning (ZSL) and Generalized Zero-Shot Learning (GZSL) approaches to the domain of 3D point cloud classification. To this end, a novel triplet loss is developed that takes advantage of unlabeled test data. While designed for the task of 3D point cloud classification, the method is also shown to be applicable to the more common use-case of 2D image classification. An extensive set of experiments is carried out, establishing state-of-the-art for ZSL and GZSL in the 3D point cloud domain, as well as demonstrating the applicability of the approach to the image domain.

Key facts. Cited by 39 papers in the map (data through 7 Oct 2026). First posted on arXiv 16 Dec 2019.

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Citing papers per year: 2021: 8; 2022: 4; 2023: 16; 2024: 7; 2025: 4.

39 papers.

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  1. 2022OpenScene: 3D Scene Understanding with Open Vocabulariescited by 556
  2. 2022PLA: Language-Driven Open-Vocabulary 3D Scene Understandingcited by 176
  3. 2021Semantic-aware Knowledge Distillation for Few-Shot Class-Incremental Learningcited by 114
  4. 2023RegionPLC: Regional Point-Language Contrastive Learning for Open-World 3D Scene Understandingcited by 93
  5. 2023CLIP-FO3D: Learning Free Open-world 3D Scene Representations from 2D Dense CLIPcited by 89
  6. 2023CLIP2: Contrastive Language-Image-Point Pretraining from Real-World Point Cloud Datacited by 69
  7. 2021Generative Zero-Shot Learning for Semantic Segmentation of 3D Point Cloudscited by 55
  8. 2023Open-Vocabulary Affordance Detection in 3D Point Cloudscited by 41
  9. 2021Zero-Shot Learning on 3D Point Cloud Objects and Beyondcited by 38
  10. 2023Lowis3D: Language-Driven Open-World Instance-Level 3D Scene Understandingcited by 38
  11. 2023Zero-Shot 3D Shape Correspondencecited by 33
  12. 20253D-AffordanceLLM: Harnessing Large Language Models for Open-Vocabulary Affordance Detection in 3D Worldscited by 29
27 more
  1. 2023OpenSight: A Simple Open-Vocabulary Framework for LiDAR-Based Object Detectioncited by 22
  2. 2023See More and Know More: Zero-shot Point Cloud Segmentation via Multi-modal Visual Datacited by 21
  3. 2023A Survey of Label-Efficient Deep Learning for 3D Point Cloudscited by 20
  4. 20213D Compositional Zero-shot Learning with DeCompositional Consensuscited by 16
  5. 2024UniM-OV3D: Uni-Modality Open-Vocabulary 3D Scene Understanding with Fine-Grained Feature Representationcited by 15
  6. 2024Open-Vocabulary 3D Semantic Segmentation with Text-to-Image Diffusion Modelscited by 12
  7. 2023A Closer Look at Few-Shot 3D Point Cloud Classificationcited by 10
  8. 2022Zero-shot point cloud segmentation by transferring geometric primitivescited by 9
  9. 2024Towards Zero-shot 3D Anomaly Localizationcited by 8
  10. 2021Language-Level Semantics Conditioned 3D Point Cloud Segmentationcited by 7
  11. 2023What Makes for Effective Few-shot Point Cloud Classification?cited by 7
  12. 2021Multi-Label Generalized Zero Shot Learning for the Classification of Disease in Chest Radiographscited by 5
  13. 2024Robotic-CLIP: Fine-tuning CLIP on Action Data for Robotic Applicationscited by 5
  14. 2021Deep Point Cloud Normal Estimation via Triplet Learningcited by 4
  15. 2023Open-Pose 3D Zero-Shot Learning: Benchmark and Challengescited by 4
  16. 2024Continual Learning in 3D Point Clouds: Employing Spectral Techniques for Exemplar Selectioncited by 4
  17. 2021"Zero-Shot" Point Cloud Upsamplingcited by 3
  18. 2023Bridging the Projection Gap: Overcoming Projection Bias Through Parameterized Distance Learningcited by 3
  19. 2024UniPLV: Towards Label-Efficient Open-World 3D Scene Understanding by Regional Visual Language Supervisioncited by 3
  20. 2025PGOV3D: Open-Vocabulary 3D Semantic Segmentation with Partial-to-Global Curriculumcited by 3
  21. 2022Prompt-guided Scene Generation for 3D Zero-Shot Learningcited by 2
  22. 20233D objects and scenes classification, recognition, segmentation, and reconstruction using 3D point cloud data: A reviewcited by 2
  23. 2023Generalized Robot 3D Vision-Language Model with Fast Rendering and Pre-Training Vision-Language Alignmentcited by 1
  24. 2023Addressing Domain Shift via Knowledge Space Sharing for Generalized Zero-Shot Industrial Fault Diagnosiscited by 0
  25. 2024Curvature Diversity-Driven Deformation and Domain Alignment for Point Cloudcited by 0
  26. 2025Towards Training-Free Open-World Classification with 3D Generative Modelscited by 0
  27. 2025Capturing Fine-Grained Alignments Improves 3D Affordance Detectioncited by 0