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 771–780 of 1723 papers

TitleStatusHype
Image Parsing with Stochastic Scene Grammar—0
Learning 3D Robotics Perception using Inductive Priors—0
Deep Contextual Attention for Human-Object Interaction Detection—0
Learning 3D Semantic Scene Graphs from 3D Indoor Reconstructions—0
DeepContext: Context-Encoding Neural Pathways for 3D Holistic Scene Understanding—0
Image-Graph-Image Translation via Auto-Encoding—0
Learning-based 3D Reconstruction in Autonomous Driving: A Comprehensive Survey—0
Learning-based Relational Object Matching Across Views—0
Learning Category- and Instance-Aware Pixel Embedding for Fast Panoptic Segmentation—0
A model of saliency-based visual attention for rapid scene analysis—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