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 1391–1400 of 1723 papers

TitleStatusHype
VoteSplat: Hough Voting Gaussian Splatting for 3D Scene Understanding—0
vS-Graphs: Integrating Visual SLAM and Situational Graphs through Multi-level Scene Understanding—0
Shifted-Windows Transformers for the Detection of Cerebral Aneurysms in Microsurgery—0
A Variational Observation Model of 3D Object for Probabilistic Semantic SLAM—0
AutoRT: Embodied Foundation Models for Large Scale Orchestration of Robotic Agents—0
SIMS: Simulating Stylized Human-Scene Interactions with Retrieval-Augmented Script Generation—0
Automatic Ground Truths: Projected Image Annotations for Omnidirectional Vision—0
Simulation-to-Real domain adaptation with teacher-student learning for endoscopic instrument segmentation—0
Simultaneous Segmentation and Recognition: Towards more accurate Ego Gesture Recognition—0
3D-LLaVA: Towards Generalist 3D LMMs with Omni Superpoint Transformer—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