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 931–940 of 1723 papers

TitleStatusHype
Egocentric Image Captioning for Privacy-Preserved Passive Dietary Intake Monitoring—0
EgoGaussian: Dynamic Scene Understanding from Egocentric Video with 3D Gaussian Splatting—0
EgoSplat: Open-Vocabulary Egocentric Scene Understanding with Language Embedded 3D Gaussian Splatting—0
Elastic Interaction Energy-Informed Real-Time Traffic Scene Perception—0
Embodied Scene Understanding for Vision Language Models via MetaVQA—0
Embodied VideoAgent: Persistent Memory from Egocentric Videos and Embodied Sensors Enables Dynamic Scene Understanding—0
Embodied Visual Active Learning for Semantic Segmentation—0
EmbRACE-3K: Embodied Reasoning and Action in Complex Environments—0
Embracing Diffraction: A Paradigm Shift in Wireless Sensing and Communication—0
EML-NET:An Expandable Multi-Layer NETwork for Saliency Prediction—0
Show:102550
← PrevPage 94 of 173Next →
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