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 1191–1200 of 1723 papers

TitleStatusHype
Real time backbone for semantic segmentation—0
Catch Me if You Can: A Novel Task for Detection of Covert Geo-Locations (CGL)—0
Real-Time Semantic Stereo Matching—0
Reasoning About Physical Interactions with Object-Centric Models—0
Reasoning About Physical Interactions with Object-Oriented Prediction and Planning—0
Reasoning with shapes: profiting cognitive susceptibilities to infer linear mapping transformations between shapes—0
Recent Advances in Multi-modal 3D Scene Understanding: A Comprehensive Survey and Evaluation—0
Recognizing Dynamic Scenes with Deep Dual Descriptor based on Key Frames and Key Segments—0
Recognizing Material Properties from Images—0
Reconstructing Animals and the Wild—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