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 961–970 of 1723 papers

TitleStatusHype
Neural Implicit Dense Semantic SLAM—0
Neural Mesh Refiner for 6-DoF Pose Estimation—0
Neural Part Priors: Learning to Optimize Part-Based Object Completion in RGB-D Scans—0
Neural Projection Mapping Using Reflectance Fields—0
Neural Radiance Field-based Visual Rendering: A Comprehensive Review—0
Zero-Shot Semantic Segmentation via Spatial and Multi-Scale Aware Visual Class Embedding—0
Neural Radiance Fields for the Real World: A Survey—0
Neural Rendering in a Room: Amodal 3D Understanding and Free-Viewpoint Rendering for the Closed Scene Composed of Pre-Captured Objects—0
DEF-oriCORN: efficient 3D scene understanding for robust language-directed manipulation without demonstrations—0
Neural RGB(r)D Sensing: Depth and Uncertainty From a Video Camera—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