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 371–380 of 1723 papers

TitleStatusHype
SPARTUN3D: Situated Spatial Understanding of 3D World in Large Language Models—0
RESSCAL3D++: Joint Acquisition and Semantic Segmentation of 3D Point CloudsCode0
A Critical Assessment of Visual Sound Source Localization Models Including Negative AudioCode0
Procedure-Aware Surgical Video-language Pretraining with Hierarchical Knowledge AugmentationCode2
Class-Agnostic Visio-Temporal Scene Sketch Semantic Segmentation—0
You Only Speak Once to See—0
LLaVA-3D: A Simple yet Effective Pathway to Empowering LMMs with 3D-awareness—0
Scene Understanding in Pick-and-Place Tasks: Analyzing Transformations Between Initial and Final Scenes—0
OW-Rep: Open World Object Detection with Instance Representation Learning—0
Learning Multiple Probabilistic Decisions from Latent World Model in Autonomous DrivingCode2
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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