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 391–400 of 1723 papers

TitleStatusHype
PrimeDepth: Efficient Monocular Depth Estimation with a Stable Diffusion PreimageCode2
Relevance for Human Robot Collaboration—0
LED: Light Enhanced Depth Estimation at NightCode1
Loss Distillation via Gradient Matching for Point Cloud Completion with Weighted Chamfer DistanceCode0
Towards Localizing Structural Elements: Merging Geometrical Detection with Semantic Verification in RGB-D Data—0
Online 3D reconstruction and dense tracking in endoscopic videosCode1
TanDepth: Leveraging Global DEMs for Metric Monocular Depth Estimation in UAVs—0
RCNet: Deep Recurrent Collaborative Network for Multi-View Low-Light Image EnhancementCode0
Future Does Matter: Boosting 3D Object Detection with Temporal Motion Estimation in Point Cloud Sequences—0
Lexicon3D: Probing Visual Foundation Models for Complex 3D Scene UnderstandingCode2
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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