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 951–960 of 1723 papers

TitleStatusHype
MUVOD: A Novel Multi-view Video Object Segmentation Dataset and A Benchmark for 3D Segmentation—0
MVLidarNet: Real-Time Multi-Class Scene Understanding for Autonomous Driving Using Multiple Views—0
N2F2: Hierarchical Scene Understanding with Nested Neural Feature Fields—0
Natural Language Guided Visual Relationship Detection—0
NavigationNet: A Large-scale Interactive Indoor Navigation Dataset—0
Navigation-Oriented Scene Understanding for Robotic Autonomy: Learning to Segment Driveability in Egocentric Images—0
DGOcc: Depth-aware Global Query-based Network for Monocular 3D Occupancy Prediction—0
Near, far: Patch-ordering enhances vision foundation models' scene understanding—0
Unsupervised Domain Adaptation for LiDAR Panoptic Segmentation—0
Designing DNNs for a trade-off between robustness and processing performance in embedded devices—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