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 691–700 of 1723 papers

TitleStatusHype
BEHAVIOR Vision Suite: Customizable Dataset Generation via Simulation—0
Learning 3D Scene Priors with 2D Supervision—0
Learning 3D Semantic Scene Graphs from 3D Indoor Reconstructions—0
BBBD: Bounding Box Based Detector for Occlusion Detection and Order Recovery—0
Deeply Learned Attributes for Crowded Scene Understanding—0
Analogical Image Translation for Fog Generation—0
Deep Learning Techniques for Geospatial Data Analysis—0
Leaky Wave Antenna-Equipped RF Chipless Tags for Orientation Estimation—0
Axiom Learning and Belief Tracing for Transparent Decision Making in Robotics—0
Content Adaptive Front End For Audio Classification—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