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 721–730 of 1723 papers

TitleStatusHype
Multi-stage Factorized Spatio-Temporal Representation for RGB-D Action and Gesture RecognitionCode1
SUMMIT: Source-Free Adaptation of Uni-Modal Models to Multi-Modal TargetsCode1
Understanding Dark Scenes by Contrasting Multi-Modal ObservationsCode1
ScanNet++: A High-Fidelity Dataset of 3D Indoor ScenesCode2
Novel-view Synthesis and Pose Estimation for Hand-Object Interaction from Sparse Views—0
Explore and Tell: Embodied Visual Captioning in 3D Environments—0
Vision Relation Transformer for Unbiased Scene Graph GenerationCode1
Chat-3D: Data-efficiently Tuning Large Language Model for Universal Dialogue of 3D ScenesCode2
CASPNet++: Joint Multi-Agent Motion Prediction—0
FocusFlow: Boosting Key-Points Optical Flow Estimation for Autonomous DrivingCode1
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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