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 1251–1260 of 1723 papers

TitleStatusHype
SurroundSDF: Implicit 3D Scene Understanding Based on Signed Distance Field—0
Survey of Action Recognition, Spotting and Spatio-Temporal Localization in Soccer -- Current Trends and Research Perspectives—0
Symbolic Graph Inference for Compound Scene Understanding—0
Synergizing Contrastive Learning and Optimal Transport for 3D Point Cloud Domain Adaptation—0
Syn-Mediverse: A Multimodal Synthetic Dataset for Intelligent Scene Understanding of Healthcare Facilities—0
SynthCam3D: Semantic Understanding With Synthetic Indoor Scenes—0
Synthetic and Real Inputs for Tool Segmentation in Robotic Surgery—0
Tactical Decision for Multi-UGV Confrontation with a Vision-Language Model-Based Commander—0
Tactile MNIST: Benchmarking Active Tactile Perception—0
TADFormer : Task-Adaptive Dynamic Transformer for Efficient Multi-Task Learning—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