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

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Showing 1121–1130 of 1723 papers

TitleStatusHype
Learning 3D Scene Priors with 2D Supervision—0
PointCA: Evaluating the Robustness of 3D Point Cloud Completion Models Against Adversarial Examples—0
Doubly Contrastive End-to-End Semantic Segmentation for Autonomous Driving under Adverse WeatherCode0
Object-level 3D Semantic Mapping using a Network of Smart Edge Sensors—0
Computational Imaging for Machine Perception: Transferring Semantic Segmentation beyond AberrationsCode0
An Enhanced Object Detection Model for Scene Graph Generation—0
Monocular BEV Perception of Road Scenes via Front-to-Top View Projection—0
FlowGrad: Using Motion for Visual Sound Source LocalizationCode0
Visually Grounded VQA by Lattice-based RetrievalCode0
User Identification: A Key Enabler for Multi-User Vision-Aided Communications—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