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

Showing 1120 of 1723 papers

TitleStatusHype
SceneSplat: Gaussian Splatting-based Scene Understanding with Vision-Language PretrainingCode3
CrossOver: 3D Scene Cross-Modal AlignmentCode3
HERMES: A Unified Self-Driving World Model for Simultaneous 3D Scene Understanding and GenerationCode3
STORM: Spatio-Temporal Reconstruction Model for Large-Scale Outdoor ScenesCode3
EPRecon: An Efficient Framework for Real-Time Panoptic 3D Reconstruction from Monocular VideoCode3
DeepInteraction++: Multi-Modality Interaction for Autonomous DrivingCode3
AudioBench: A Universal Benchmark for Audio Large Language ModelsCode3
4D Panoptic Scene Graph GenerationCode3
Multi-Modal Data-Efficient 3D Scene Understanding for Autonomous DrivingCode3
Sigma: Siamese Mamba Network for Multi-Modal Semantic SegmentationCode3
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ACRV BaselineOMQ0.44Unverified
2Team VGAI (TCS Research)OMQ0.37Unverified
3Demo_semantic_SLAMOMQ0.11Unverified
#ModelMetricClaimedVerifiedStatus
1CPN(ResNet-101)Mean IoU46.3Unverified
#ModelMetricClaimedVerifiedStatus
1ACRV BaselineOMQ0.35Unverified