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 301310 of 1723 papers

TitleStatusHype
MGNet: Monocular Geometric Scene Understanding for Autonomous DrivingCode1
Microsoft COCO: Common Objects in ContextCode1
A Survey on Deep Learning for Localization and Mapping: Towards the Age of Spatial Machine IntelligenceCode1
DTCLMapper: Dual Temporal Consistent Learning for Vectorized HD Map ConstructionCode1
LLaVA-SpaceSGG: Visual Instruct Tuning for Open-vocabulary Scene Graph Generation with Enhanced Spatial RelationsCode1
Dual-Hybrid Attention Network for Specular Highlight RemovalCode1
A Two-Stage Masked Autoencoder Based Network for Indoor Depth CompletionCode1
Context Prior for Scene SegmentationCode1
A Survey of World Models for Autonomous DrivingCode1
Affect2MM: Affective Analysis of Multimedia Content Using Emotion CausalityCode1
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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