SUN RGB-D: A RGB-D scene understanding benchmark suite
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- Type
- article
- Published
- 2015-06-07
- Cited by
- 2,127
- References
- 77
- Access
- Open access
- OpenAlex
- https://openalex.org/W1923184257
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:6242669
Keywords
Suite, Pascal (unit), Computer science, Artificial intelligence, RGB color model
References
- Object detection and classification from large‐scale cluttered indoor scans
- Distinctive texture features from perspective-invariant keypoints
- Modeling the Shape of the Scene: A Holistic Representation of the Spatial Envelope
- Learning Discriminative Representations from RGB-D Video Data
- Fall detection using ceiling-mounted 3D depth camera
- 3D ShapeNets for 2.5D Object Recognition and Next-Best-View Prediction
- Segmentation of unknown objects in indoor environments
- SUN3D: A Database of Big Spaces Reconstructed Using SfM and Object Labels
- Scene Coordinate Regression Forests for Camera Relocalization in RGB-D Images
- Ensemble of exemplar-SVMs for object detection and beyond
- Instructing people for training gestural interactive systems
- KinectFaceDB: A Kinect Database for Face Recognition
- Support Surface Prediction in Indoor Scenes
- BigBIRD: A large-scale 3D database of object instances
- SUN database: Large-scale scene recognition from abbey to zoo
- Recovering free space of indoor scenes from a single image
- A benchmark for the evaluation of RGB-D SLAM systems
- Contextually guided semantic labeling and search for three-dimensional point clouds
- Automatic Registration of RGB-D Scans via Salient Directions
- Unbiased look at dataset bias
Cited by
- Automatic Spatially Varying Illumination Recovery of Indoor Scenes Based on a Single RGB-D Image
- Cross Modal Distillation for Supervision Transfer
- Robot In a Room: Toward Perfect Object Recognition in Closed Environments
- SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
- Bayesian SegNet: Model Uncertainty in Deep Convolutional Encoder-Decoder Architectures for Scene Understanding
- Semantic Instance Annotation of Street Scenes by 3D to 2D Label Transfer
- Large Displacement 3D Scene Flow with Occlusion Reasoning
- Understand scene categories by objects: A semantic regularized scene classifier using Convolutional Neural Networks
- 3D spatial pyramid: descriptors generation from point clouds for indoor scene classification
- Deep Sliding Shapes for Amodal 3D Object Detection in RGB-D Images
- ASIST: Automatic semantically invariant scene transformation
- Indoor scene segmentation with semantic cuboids
- Exploring Context with Deep Structured Models for Semantic Segmentation
- RGB-D datasets using microsoft kinect or similar sensors: a survey
- Orientation-boosted Voxel Nets for 3D Object Recognition
- RGBD Datasets: Past, Present and Future
- Volumetric and Multi-view CNNs for Object Classification on 3D Data
- The Cityscapes Dataset for Semantic Urban Scene Understanding
- Understanding RealWorld Indoor Scenes with Synthetic Data
- LSTM-CF: Unifying Context Modeling and Fusion with LSTMs for RGB-D Scene Labeling
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