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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 611–620 of 1723 papers

TitleStatusHype
ChatBEV: A Visual Language Model that Understands BEV Maps—0
Learning-based 3D Reconstruction in Autonomous Driving: A Comprehensive Survey—0
HIS-GPT: Towards 3D Human-In-Scene Multimodal Understanding—0
EgoSplat: Open-Vocabulary Egocentric Scene Understanding with Language Embedded 3D Gaussian Splatting—0
Road Rage Reasoning with Vision-language Models (VLMs): Task Definition and Evaluation Dataset—0
TGP: Two-modal occupancy prediction with 3D Gaussian and sparse points for 3D Environment Awareness—0
TARS: Traffic-Aware Radar Scene Flow Estimation—0
Graph-Grounded LLMs: Leveraging Graphical Function Calling to Minimize LLM Hallucinations—0
Object-Aware DINO (Oh-A-Dino): Enhancing Self-Supervised Representations for Multi-Object Instance Retrieval—0
DIV-FF: Dynamic Image-Video Feature Fields For Environment Understanding in Egocentric Videos—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