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 1351–1360 of 1723 papers

TitleStatusHype
Visual Lexicon: Rich Image Features in Language Space—0
Visual Semantic Parsing: From Images to Abstract Meaning Representation—0
Visual-Semantic Scene Understanding by Sharing Labels in a Context Network—0
Visual Traffic Knowledge Graph Generation from Scene Images—0
Visual Vibrometry: Estimating MaterialProperties from Small Motions in Video—0
Visual Vibrometry: Estimating Material Properties From Small Motion in Video—0
Visual Vibrometry: Estimating Material Properties from Small Motions in Video—0
Visuomotor Understanding for Representation Learning of Driving Scenes—0
VLM-E2E: Enhancing End-to-End Autonomous Driving with Multimodal Driver Attention Fusion—0
VLocNet++: Deep Multitask Learning for Semantic Visual Localization and Odometry—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