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 1711–1720 of 1723 papers

TitleStatusHype
Input-Output Balanced Framework for Long-tailed LiDAR Semantic Segmentation—0
Exosense: A Vision-Based Scene Understanding System For Exoskeletons—0
Instance- and Category-level 6D Object Pose Estimation—0
InstanceGaussian: Appearance-Semantic Joint Gaussian Representation for 3D Instance-Level Perception—0
ExCap3D: Expressive 3D Scene Understanding via Object Captioning with Varying Detail—0
EvSegSNN: Neuromorphic Semantic Segmentation for Event Data—0
Integrating LMM Planners and 3D Skill Policies for Generalizable Manipulation—0
Interactive Attention AI to translate low light photos to captions for night scene understanding in women safety—0
Adversarial Scene Reconstruction and Object Detection System for Assisting Autonomous Vehicle—0
Interactive Occlusion Boundary Estimation through Exploitation of Synthetic Data—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