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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1701–1710 of 1723 papers

TitleStatusHype
Incremental Learning for Robot Perception through HRI—0
Expanding Frozen Vision-Language Models without Retraining: Towards Improved Robot Perception—0
Indoor Scene Understanding in 2.5/3D for Autonomous Agents: A Survey—0
Indoor Semantic Scene Understanding using Multi-modality Fusion—0
A Dynamic Data Driven Approach for Explainable Scene Understanding—0
Inferring Shared Attention in Social Scene Videos—0
Transformers for Image-Goal Navigation—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
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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