mlsanityData to 7 Oct 2026

Salient Object Detection for Point Clouds

arXiv 2207.11889 ↗First posted 25 Jul 2022cs.CVcited by 5

Not on the map. Why?

Abstract (arXiv)

This paper researches the unexplored task-point cloud salient object detection (SOD). Differing from SOD for images, we find the attention shift of point clouds may provoke saliency conflict, i.e., an object paradoxically belongs to salient and non-salient categories. To eschew this issue, we present a novel view-dependent perspective of salient objects, reasonably reflecting the most eye-catching objects in point cloud scenarios. Following this formulation, we introduce PCSOD, the first dataset proposed for point cloud SOD consisting of 2,872 in-/out-door 3D views. The samples in our dataset are labeled with hierarchical annotations, e.g., super-/sub-class, bounding box, and segmentation map, which endows the brilliant generalizability and broad applicability of our dataset verifying various conjectures. To evidence the feasibility of our solution, we further contribute a baseline model and benchmark five representative models for a comprehensive comparison. The proposed model can effectively analyze irregular and unordered points for detecting salient objects. Thanks to incorporating the task-tailored designs, our method shows visible superiority over other baselines, producing more satisfactory results. Extensive experiments and discussions reveal the promising potential of this research field, paving the way for further study.

Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). Builds on 33 of its 66 references that are in the map. First posted on arXiv 25 Jul 2022.

Builds on

33 of 66 references.

References · 33

  1. 2014ImageNet Large Scale Visual Recognition Challengecited by 8,441
  2. 2016PointNet: Deep Learning on Point Sets for 3D Classification and Segmentationcited by 5,223
  3. 2017PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Spacecited by 4,384
  4. 2017ScanNet: Richly-annotated 3D Reconstructions of Indoor Scenescited by 3,088
  5. 2018Dynamic Graph CNN for Learning on Point Cloudscited by 2,220
  6. 2018PointRCNN: 3D Object Proposal Generation and Detection from Point Cloudcited by 939
  7. 2018PointCNN: Convolution On X-Transformed Pointscited by 764
  8. 2018PointConv: Deep Convolutional Networks on 3D Point Cloudscited by 656
  9. 2018PartNet: A Large-scale Benchmark for Fine-grained and Hierarchical Part-level 3D Object Understandingcited by 521
  10. 2017Structure-measure: A New Way to Evaluate Foreground Mapscited by 480
  11. 2018Enhanced-alignment Measure for Binary Foreground Map Evaluationcited by 370
  12. 2019EGNet:Edge Guidance Network for Salient Object Detectioncited by 237
21 more
  1. 2020Multi-scale Interactive Network for Salient Object Detectioncited by 212
  2. 2019A Simple Pooling-Based Design for Real-Time Salient Object Detectioncited by 211
  3. 2016Deeply supervised salient object detection with short connectionscited by 196
  4. 2019Salient Object Detection in the Deep Learning Era: An In-Depth Surveycited by 163
  5. 2017Semantic3D.net: A new Large-scale Point Cloud Classification Benchmarkcited by 158
  6. 2017Escape from Cells: Deep Kd-Networks for the Recognition of 3D Point Cloud Modelscited by 142
  7. 2017Receptive Field Block Net for Accurate and Fast Object Detectioncited by 140
  8. 2018PointCloud Saliency Mapscited by 112
  9. 2020Global Context-Aware Progressive Aggregation Network for Salient Object Detectioncited by 109
  10. 2019ShellNet: Efficient Point Cloud Convolutional Neural Networks using Concentric Shells Statisticscited by 104
  11. 2020UC-Net: Uncertainty Inspired RGB-D Saliency Detection via Conditional Variational Autoencoderscited by 98
  12. 2020RGB-D Salient Object Detection: A Surveycited by 73
  13. 2021Learning Semantic Segmentation of Large-Scale Point Clouds with Random Samplingcited by 51
  14. 2019Octree guided CNN with Spherical Kernels for 3D Point Cloudscited by 50
  15. 2020RGB-D Salient Object Detection with Cross-Modality Modulation and Selectioncited by 50
  16. 2021Perceptual Quality Assessment of Colored 3D Point Cloudscited by 49
  17. 2021ASSANet: An Anisotropic Separable Set Abstraction for Efficient Point Cloud Representation Learningcited by 29
  18. 2020Light Field Salient Object Detection: A Review and Benchmarkcited by 19
  19. 2021Progressive Self-Guided Loss for Salient Object Detectioncited by 14
  20. 2021Light Field Saliency Detection with Dual Local Graph Learning andReciprocative Guidancecited by 12
  21. 2019Light Field Saliency Detection with Deep Convolutional Networkscited by 10

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2022: 1; 2023: 2; 2024: 1; 2025: 0; 2026: 1.

5 papers.

  1. 2023Screen-based 3D Subjective Experiment Softwarecited by 3
  2. 2023Attention-Guided Lidar Segmentation and Odometry Using Image-to-Point Cloud Saliency Transfercited by 1
  3. 2024Evaluating saliency scores in point clouds of natural environments by learning surface anomaliescited by 1
  4. 2022PSFormer: Point Transformer for 3D Salient Object Detectioncited by 0
  5. 2026MIMONet: Multi-scale Input and Multi-scale Output Network for Salient Object Detectioncited by 0