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 1171–1180 of 1723 papers

TitleStatusHype
Challenges for Monocular 6D Object Pose Estimation in Robotics—0
Q-GroundCAM: Quantifying Grounding in Vision Language Models via GradCAM—0
Quantifying the synthetic and real domain gap in aerial scene understanding—0
Vision-Language Embodiment for Monocular Depth Estimation—0
QueSTMaps: Queryable Semantic Topological Maps for 3D Scene Understanding—0
R3DS: Reality-linked 3D Scenes for Panoramic Scene Understanding—0
Category-Level and Open-Set Object Pose Estimation for Robotics—0
Radiation Search Operations using Scene Understanding with Autonomous UAV and UGV—0
Radiometric Scene Decomposition: Scene Reflectance, Illumination, and Geometry from RGB-D Images—0
RAFT: Robust Augmentation of FeaTures for Image Segmentation—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