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 1091–1100 of 1723 papers

TitleStatusHype
Explicit3D: Graph Network with Spatial Inference for Single Image 3D Object Detection—0
Structured Generative Models for Scene Understanding—0
Object-Centric Scene Representations using Active Inference—0
A Flexible Framework for Virtual Omnidirectional Vision to Improve Operator Situation Awareness—0
Learning from Mistakes: Self-Regularizing Hierarchical Representations in Point Cloud Semantic Segmentation—0
Model-based inexact graph matching on top of CNNs for semantic scene understandingCode0
Long Range Pooling for 3D Large-Scale Scene Understanding—0
A Comprehensive Review of Modern Object Segmentation Approaches—0
Neural Radiance Field CodebooksCode0
Seeing With Sound: Long-range Acoustic Beamforming for Multimodal Scene Understanding—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