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 1081–1090 of 1723 papers

TitleStatusHype
Incremental Learning for Robot Perception through HRI—0
Indoor Scene Understanding in 2.5/3D for Autonomous Agents: A Survey—0
Indoor Semantic Scene Understanding using Multi-modality Fusion—0
Inferring Shared Attention in Social Scene Videos—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
Instance- and Category-level 6D Object Pose Estimation—0
InstanceGaussian: Appearance-Semantic Joint Gaussian Representation for 3D Instance-Level Perception—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