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

Showing 241250 of 1723 papers

TitleStatusHype
All-Day Multi-Camera Multi-Target TrackingCode1
Monocular Depth Estimation via Listwise Ranking using the Plackett-Luce ModelCode1
Estimating Generic 3D Room Structures from 2D AnnotationsCode1
Monte Carlo Scene Search for 3D Scene UnderstandingCode1
3DMIT: 3D Multi-modal Instruction Tuning for Scene UnderstandingCode1
MTMamba: Enhancing Multi-Task Dense Scene Understanding by Mamba-Based DecodersCode1
Auto-Panoptic: Cooperative Multi-Component Architecture Search for Panoptic SegmentationCode1
Estimating and Exploiting the Aleatoric Uncertainty in Surface Normal EstimationCode1
Event-aided Semantic Scene CompletionCode1
Automatic Extrinsic Calibration Method for LiDAR and Camera Sensor SetupsCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ACRV BaselineOMQ0.44Unverified
2Team VGAI (TCS Research)OMQ0.37Unverified
3Demo_semantic_SLAMOMQ0.11Unverified
#ModelMetricClaimedVerifiedStatus
1CPN(ResNet-101)Mean IoU46.3Unverified
#ModelMetricClaimedVerifiedStatus
1ACRV BaselineOMQ0.35Unverified