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 1271–1280 of 1723 papers

TitleStatusHype
SANPO: A Scene Understanding, Accessibility and Human Navigation Dataset—0
Scan2Part: Fine-grained and Hierarchical Part-level Understanding of Real-World 3D Scans—0
Bottom-up Instance Segmentation using Deep Higher-Order CRFs—0
Both Style and Fog Matter: Cumulative Domain Adaptation for Semantic Foggy Scene Understanding—0
Both Style and Distortion Matter: Dual-Path Unsupervised Domain Adaptation for Panoramic Semantic Segmentation—0
Sce2DriveX: A Generalized MLLM Framework for Scene-to-Drive Learning—0
Scenarios: A New Representation for Complex Scene Understanding—0
Scene-aware Human Pose Generation using Transformer—0
Scene-Aware Prompt for Multi-modal Dialogue Understanding and Generation—0
Visual Lexicon: Rich Image Features in Language Space—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