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 991–1000 of 1723 papers

TitleStatusHype
SGRec3D: Self-Supervised 3D Scene Graph Learning via Object-Level Scene Reconstruction—0
Language-EXtended Indoor SLAM (LEXIS): A Versatile System for Real-time Visual Scene Understanding—0
SANPO: A Scene Understanding, Accessibility and Human Navigation Dataset—0
LLMR: Real-time Prompting of Interactive Worlds using Large Language Models—0
Survey of Action Recognition, Spotting and Spatio-Temporal Localization in Soccer -- Current Trends and Research Perspectives—0
Shape Anchor Guided Holistic Indoor Scene UnderstandingCode0
PanoMixSwap Panorama Mixing via Structural Swapping for Indoor Scene Understanding—0
So you think you can track?—0
Rank2Tell: A Multimodal Driving Dataset for Joint Importance Ranking and Reasoning—0
AmodalSynthDrive: A Synthetic Amodal Perception Dataset for Autonomous Driving—0
Show:102550
← PrevPage 100 of 173Next →
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