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 1241–1250 of 1723 papers

TitleStatusHype
Structured Generative Models for Scene Understanding—0
Neural Language of Thought Models—0
Style-transfer based Speech and Audio-visual Scene Understanding for Robot Action Sequence Acquisition from Videos—0
Submodular Field Grammars: Representation, Inference, and Application to Image Parsing—0
SUN RGB-D: A RGB-D Scene Understanding Benchmark Suite—0
SUPER: A Novel Lane Detection System—0
SuperGSeg: Open-Vocabulary 3D Segmentation with Structured Super-Gaussians—0
Surgical Scene Understanding in the Era of Foundation AI Models: A Comprehensive Review—0
SurgiSAM2: Fine-tuning a foundational model for surgical video anatomy segmentation and detection—0
SurGNN: Explainable visual scene understanding and assessment of surgical skill using graph neural networks—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