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 821–830 of 1723 papers

TitleStatusHype
AVD2: Accident Video Diffusion for Accident Video Description—0
Modeling human intuitions about liquid flow with particle-based simulation—0
Identifying First-person Camera Wearers in Third-person Videos—0
LiveHPS: LiDAR-based Scene-level Human Pose and Shape Estimation in Free Environment—0
Living in a Material World: Learning Material Properties from Full-Waveform Flash Lidar Data for Semantic Segmentation—0
AmodalSynthDrive: A Synthetic Amodal Perception Dataset for Autonomous Driving—0
Modeling Uncertainty in 3D Gaussian Splatting through Continuous Semantic Splatting—0
LLaVA-3D: A Simple yet Effective Pathway to Empowering LMMs with 3D-awareness—0
LLaVA-4D: Embedding SpatioTemporal Prompt into LMMs for 4D Scene Understanding—0
Monocular BEV Perception of Road Scenes via Front-to-Top View Projection—0
Show:102550
← PrevPage 83 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