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 211–220 of 1723 papers

TitleStatusHype
Hierarchical Context Transformer for Multi-level Semantic Scene UnderstandingCode0
CrossOver: 3D Scene Cross-Modal AlignmentCode3
AVD2: Accident Video Diffusion for Accident Video Description—0
Sce2DriveX: A Generalized MLLM Framework for Scene-to-Drive Learning—0
Understanding and Evaluating Hallucinations in 3D Visual Language Models—0
Surgical Scene Understanding in the Era of Foundation AI Models: A Comprehensive Review—0
NavRAG: Generating User Demand Instructions for Embodied Navigation through Retrieval-Augmented LLMCode2
Occlusion-aware Non-Rigid Point Cloud Registration via Unsupervised Neural Deformation CorrentropyCode1
FLARES: Fast and Accurate LiDAR Multi-Range Semantic Segmentation—0
3D-Grounded Vision-Language Framework for Robotic Task Planning: Automated Prompt Synthesis and Supervised Reasoning—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