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 1541–1550 of 1723 papers

TitleStatusHype
Online Self-supervised Scene Segmentation for Micro Aerial Vehicles—0
DenseASPP for Semantic Segmentation in Street ScenesCode0
Inferring Shared Attention in Social Scene Videos—0
3D-RCNN: Instance-Level 3D Object Reconstruction via Render-and-Compare—0
Scene Understanding Networks for Autonomous Driving based on Around View Monitoring System—0
Auxiliary Tasks in Multi-task LearningCode0
Vision-based Automated Bridge Component Recognition Integrated With High-level Scene Understanding—0
PAD-Net: Multi-Tasks Guided Prediction-and-Distillation Network for Simultaneous Depth Estimation and Scene Parsing—0
Multi-Resolution Multi-Modal Sensor Fusion For Remote Sensing Data With Label UncertaintyCode0
EML-NET:An Expandable Multi-Layer NETwork for Saliency Prediction—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