SUN RGB-D: A RGB-D scene understanding benchmark suite

Cited by (1,003)

Items 201–300 of 1,003

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2. SharpNet: Fast and Accurate Recovery of Occluding Contours in Monocular Depth Estimation
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3. Micro deep learning profilometry for high-speed 3D surface imaging
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4. Weakly Supervised 3D Object Detection from Lidar Point Cloud
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7. Back-tracing Representative Points for Voting-based 3D Object Detection in Point Clouds
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8. SensatUrban: Learning Semantics from Urban-Scale Photogrammetric Point Clouds
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9. Untrained Neural Network Priors for Inverse Imaging Problems: A Survey
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10. Holistic++ Scene Understanding: Single-View 3D Holistic Scene Parsing and Human Pose Estimation With Human-Object Interaction and Physical Commonsense
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11. Indoor Scene Understanding in 2.5/3D for Autonomous Agents: A Survey
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12. Universal Semi-Supervised Semantic Segmentation
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13. Auxiliary Tasks and Exploration Enable ObjectGoal Navigation
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14. Precise Synthetic Image and LiDAR (PreSIL) Dataset for Autonomous Vehicle Perception
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15. Discriminative Multi-modal Feature Fusion for RGBD Indoor Scene Recognition
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16. An Evaluation of RetinaNet on Indoor Object Detection for Blind and Visually Impaired Persons Assistance Navigation
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17. Deep learning-based perception systems for autonomous driving: A comprehensive survey
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18. A Survey on Deep-Learning-Based LiDAR 3D Object Detection for Autonomous Driving
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19. Recent Advances in 3D Data Acquisition and Processing by Time-of-Flight Camera
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20. Multiview Subspace Clustering via Low-Rank Symmetric Affinity Graph
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21. AGA: Attribute-Guided Augmentation
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22. Deep End-to-End Time-of-Flight Imaging
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23. TextureNet: Consistent Local Parametrizations for Learning From High-Resolution Signals on Meshes
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24. A review on object pose recovery: From 3D bounding box detectors to full 6D pose estimators
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25. Holistic 3D Scene Understanding from a Single Image with Implicit Representation
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26. Weakly Aligned Feature Fusion for Multimodal Object Detection
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27. A Comprehensive Survey of Transformers for Computer Vision
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28. Omni3D: A Large Benchmark and Model for 3D Object Detection in the Wild
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29. Feature Space Transfer for Data Augmentation
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30. MVImgNet: A Large-scale Dataset of Multi-view Images
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31. Semantics for Robotic Mapping, Perception and Interaction: A Survey
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32. Neural Graph Matching Networks for Fewshot 3D Action Recognition
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33. SceneNet: An annotated model generator for indoor scene understanding
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34. Understand scene categories by objects: A semantic regularized scene classifier using Convolutional Neural Networks
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35. Geometry-Aware Distillation for Indoor Semantic Segmentation
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36. Sigma: Siamese Mamba Network for Multi-Modal Semantic Segmentation
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37. Detail Preserving Depth Estimation from a Single Image Using Attention Guided Networks
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38. Towards Fast and Accurate Real-World Depth Super-Resolution: Benchmark Dataset and Baseline
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39. Multi-scale Optimal Fusion model for single image dehazing
    Zhao Dong, Long Xu, Yihua Yan, Jie Chen, Ling‐Yu Duan · 2019 · Signal Processing Image Communication
40. Language-driven synthesis of 3D scenes from scene databases
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41. Non-Local Aggregation for RGB-D Semantic Segmentation
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42. Lidar Point Cloud Compression, Processing and Learning for Autonomous Driving
    Rashid Abbasi, Ali Kashif Bashir, Hasan J. Alyamani, Farhan Amin, Jaehyeok Doh, Jianwen Chen · 2022 · IEEE Transactions on Intelligent Transportation Systems
43. Amodal Detection of 3D Objects: Inferring 3D Bounding Boxes from 2D Ones in RGB-Depth Images
    Zhuo Deng, Longin Jan Latecki · 2017 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
44. Two Stream 3D Semantic Scene Completion
    Martin Garbade, Yueh-Tung Chen, Johann Sawatzky, Jüergen Gall · 2019 · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
45. RGB-D and Thermal Sensor Fusion: A Systematic Literature Review
    Martin Brenner, Napoleon H. Reyes, Teo Sušnjak, Andre L. C. Barczak · 2023 · IEEE Access
46. GraphAlign++: An Accurate Feature Alignment by Graph Matching for Multi-Modal 3D Object Detection
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47. Multi-modal deep feature learning for RGB-D object detection
    Xiangyang Xu, Yuncheng Li, Gangshan Wu, Jiebo Luo · 2017 · Pattern Recognition
48. Pattern-Structure Diffusion for Multi-Task Learning
    Ling Zhou, Zhen Cui, Chunyan Xu, Zhenyu Zhang, Chaoqun Wang, Tong Zhang, Jian Wu Yang · 2020 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
49. Simple Multi-dataset Detection
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50. Bootstrapping Semantic Segmentation with Regional Contrast
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51. Zero-Shot Deep Domain Adaptation
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52. Self-Supervised Graph Completion for Incomplete Multi-View Clustering
    Cheng Liu, Si Wu, Rui Li, Dazhi Jiang, Hau−San Wong · 2023 · IEEE Transactions on Knowledge and Data Engineering
53. The Hessigheim 3D (H3D) benchmark on semantic segmentation of high-resolution 3D point clouds and textured meshes from UAV LiDAR and Multi-View-Stereo
    Michael Kölle, D. Laupheimer, Stefan Schmohl, Norbert Haala A, Franz Rottensteiner, Jan Dirk Wegner, Hugo Ledoux · 2021 · Zurich Open Repository and Archive (University of Zurich)
54. Incomplete Multiple Kernel Alignment Maximization for Clustering
    Xinwang Liu · 2021 · IEEE Transactions on Pattern Analysis and Machine Intelligence
55. Object recognition datasets and challenges: A review
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56. LCPFormer: Towards Effective 3D Point Cloud Analysis via Local Context Propagation in Transformers
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57. Habitat-Matterport 3D Semantics Dataset
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58. OneLLM: One Framework to Align All Modalities with Language
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59. Progressive Mirror Detection
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60. Channel Attention Based Iterative Residual Learning for Depth Map Super-Resolution
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61. A Survey of Multi-modal Knowledge Graphs: Technologies and Trends
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62. SCN: Switchable Context Network for Semantic Segmentation of RGB-D Images
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63. DeepDeform: Learning Non-Rigid RGB-D Reconstruction With Semi-Supervised Data
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64. Efficient and Robust MultiView Clustering With Anchor Graph Regularization
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65. Relation Graph Network for 3D Object Detection in Point Clouds
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66. Deep learning-based small object detection: A survey
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67. A Survey on Open-Vocabulary Detection and Segmentation: Past, Present, and Future
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68. Habitat-Web: Learning Embodied Object-Search Strategies from Human Demonstrations at Scale
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69. PiMAE: Point Cloud and Image Interactive Masked Autoencoders for 3D Object Detection
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70. Factors of Influence for Transfer Learning Across Diverse Appearance Domains and Task Types
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71. Depth-Aware Mirror Segmentation
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75. SceneNet RGB-D: 5M Photorealistic Images of Synthetic Indoor Trajectories with Ground Truth
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76. Cross-Modal Attentional Context Learning for RGB-D Object Detection
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77. NDDepth: Normal-Distance Assisted Monocular Depth Estimation
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78. “What Happens If...” Learning to Predict the Effect of Forces in Images
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79. Gated2Depth: Real-Time Dense Lidar From Gated Images
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80. CLOI-NET: Class segmentation of industrial facilities’ point cloud datasets
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81. Generative Semantic Segmentation
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82. OpenRooms: An Open Framework for Photorealistic Indoor Scene Datasets
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83. Contrastive Multimodal Fusion with TupleInfoNCE
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84. OmniVec: Learning robust representations with cross modal sharing
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85. ECNet: Efficient Convolutional Networks for Side Scan Sonar Image Segmentation
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86. Virtual Normal: Enforcing Geometric Constraints for Accurate and Robust Depth Prediction
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87. Robust Deep Multi-modal Learning Based on Gated Information Fusion Network
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88. A Survey of Label-Efficient Deep Learning for 3D Point Clouds
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89. Unity Perception: Generate Synthetic Data for Computer Vision
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91. Statistical Multi-Objects Segmentation for Indoor/Outdoor Scene Detection and Classification via Depth Images
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93. Comprehensive review of recent developments in visual object detection based on deep learning
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95. Learning to Look around Objects for Top-View Representations of Outdoor Scenes
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96. A Review on Deep Learning Approaches for 3D Data Representations in Retrieval and Classifications
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97. Notice of Violation of IEEE Publication Principles: Recent Advances in 3D Object Detection in the Era of Deep Neural Networks: A Survey
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98. End-to-End Optimization of Scene Layout
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99. Depth CNNs for RGB-D Scene Recognition: Learning from Scratch Better than Transferring from RGB-CNNs
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100. Mirror Detection With the Visual Chirality Cue
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