SOTAVerified

Scene Understanding

Scene understanding involves interpreting the visual information of a scene, including objects, their spatial relationships, and the overall layout. It goes beyond simple object recognition by considering the context and how objects relate to each other and the environment.

Papers

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Showing 701–725 of 1723 papers

TitleStatusHype
Deep Learning Techniques for Geospatial Data Analysis—0
Learning Sparsity for Effective and Efficient Music Performance Question Answering—0
Learning Spatial Common Sense with Geometry-Aware Recurrent Networks—0
Indoor Semantic Scene Understanding using Multi-modality Fusion—0
Indoor Scene Understanding in 2.5/3D for Autonomous Agents: A Survey—0
Incremental Learning for Robot Perception through HRI—0
Axiom Learning and Belief Tracing for Transparent Decision Making in Robotics—0
Content Adaptive Front End For Audio Classification—0
Incorporating Structured Representations into Pretrained Vision & Language Models Using Scene Graphs—0
Incorporating Scene Context and Object Layout into Appearance Modeling—0
Deep Learning Advances in Vision-Based Traffic Accident Anticipation: A Comprehensive Review of Methods,Datasets,and Future Directions—0
Inferring Shared Attention in Social Scene Videos—0
Incorporating Explanations into Human-Machine Interfaces for Trust and Situation Awareness in Autonomous Vehicles—0
InLUT3D: Challenging real indoor dataset for point cloud analysis—0
In pixels we trust: From Pixel Labeling to Object Localization and Scene Categorization—0
In-Place Panoptic Radiance Field Segmentation with Perceptual Prior for 3D Scene Understanding—0
Input-Output Balanced Framework for Long-tailed LiDAR Semantic Segmentation—0
A Multi-purpose Realistic Haze Benchmark with Quantifiable Haze Levels and Ground Truth—0
Instance- and Category-level 6D Object Pose Estimation—0
InstanceGaussian: Appearance-Semantic Joint Gaussian Representation for 3D Instance-Level Perception—0
Learning to Interpret and Describe Abstract Scenes—0
InCoRo: In-Context Learning for Robotics Control with Feedback Loops—0
Deep Learned Full-3D Object Completion from Single View—0
Interactive Attention AI to translate low light photos to captions for night scene understanding in women safety—0
Improving Online Lane Graph Extraction by Object-Lane Clustering—0
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All datasetsSemantic Scene Understanding Challenge (passive actuation & ground-truth localisation)ADE20K valSemantic Scene Understanding Challenge (active actuation & ground-truth localisation)

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ACRV BaselineOMQ0.44—Unverified
2Team VGAI (TCS Research)OMQ0.37—Unverified
3Demo_semantic_SLAMOMQ0.11—Unverified
#ModelMetricClaimedVerifiedStatus
1CPN(ResNet-101)Mean IoU46.3—Unverified
#ModelMetricClaimedVerifiedStatus
1ACRV BaselineOMQ0.35—Unverified