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

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Showing 811–820 of 1723 papers

TitleStatusHype
IM2CAD—0
An Exemplar-based CRF for Multi-instance Object Segmentation—0
Leveraging Auxiliary Text for Deep Recognition of Unseen Visual Relationships—0
A Vision-Language Framework for Multispectral Scene Representation Using Language-Grounded Features—0
Leveraging Large-Scale Pretrained Vision Foundation Models for Label-Efficient 3D Point Cloud Segmentation—0
MM3DGS SLAM: Multi-modal 3D Gaussian Splatting for SLAM Using Vision, Depth, and Inertial Measurements—0
AVD2: Accident Video Diffusion for Accident Video Description—0
Identifying First-person Camera Wearers in Third-person Videos—0
Lifting GIS Maps into Strong Geometric Context for Scene Understanding—0
AmodalSynthDrive: A Synthetic Amodal Perception Dataset for Autonomous Driving—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