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 1261–1270 of 1723 papers

TitleStatusHype
Generative Video Transformer: Can Objects be the Words?—0
CodeMapping: Real-Time Dense Mapping for Sparse SLAM using Compact Scene Representations—0
Accelerating deep neural networks for efficient scene understanding in automotive cyber-physical systems—0
DANCE: DAta-Network Co-optimization for Efficient Segmentation Model Training and Inference—0
A Weakly-Supervised Depth Estimation Network Using Attention Mechanism—0
Neighbor-Vote: Improving Monocular 3D Object Detection through Neighbor Distance VotingCode0
Empowering cyberphysical systems of systems with intelligence—0
Hybrid Memoised Wake-Sleep: Approximate Inference at the Discrete-Continuous Interface—0
Cognitive Visual Commonsense Reasoning Using Dynamic Working MemoryCode0
Egocentric Image Captioning for Privacy-Preserved Passive Dietary Intake Monitoring—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