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 1111–1120 of 1723 papers

TitleStatusHype
LangSurf: Language-Embedded Surface Gaussians for 3D Scene Understanding—0
Language-Assisted 3D Scene Understanding—0
Language-EXtended Indoor SLAM (LEXIS): A Versatile System for Real-time Visual Scene Understanding—0
LargeAD: Large-Scale Cross-Sensor Data Pretraining for Autonomous Driving—0
Large Language Models for Autonomous Driving (LLM4AD): Concept, Benchmark, Experiments, and Challenges—0
Large Language Models (LLMs) as Traffic Control Systems at Urban Intersections: A New Paradigm—0
Large Margin Learning of Upstream Scene Understanding Models—0
LCrowdV: Generating Labeled Videos for Simulation-based Crowd Behavior Learning—0
Leader360V: The Large-scale, Real-world 360 Video Dataset for Multi-task Learning in Diverse Environment—0
Leaky Wave Antenna-Equipped RF Chipless Tags for Orientation Estimation—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