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 771–780 of 1723 papers

TitleStatusHype
You Only Speak Once to See—0
Scene Understanding in Pick-and-Place Tasks: Analyzing Transformations Between Initial and Final Scenes—0
LLaVA-3D: A Simple yet Effective Pathway to Empowering LMMs with 3D-awareness—0
OW-Rep: Open World Object Detection with Instance Representation Learning—0
Diffusion-based RGB-D Semantic Segmentation with Deformable Attention Transformer—0
Multilateral Cascading Network for Semantic Segmentation of Large-Scale Outdoor Point Clouds—0
MOSE: Monocular Semantic Reconstruction Using NeRF-Lifted Noisy Priors—0
Relevance-driven Decision Making for Safer and More Efficient Human Robot Collaboration—0
CLAIR-A: Leveraging Large Language Models to Judge Audio CaptionsCode0
Towards Global Localization using Multi-Modal Object-Instance Re-IdentificationCode0
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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