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 331340 of 1723 papers

TitleStatusHype
All-Day Multi-Camera Multi-Target TrackingCode1
From General to Specific: Informative Scene Graph Generation via Balance AdjustmentCode1
Affect2MM: Affective Analysis of Multimedia Content Using Emotion CausalityCode1
DAF-Net: A Dual-Branch Feature Decomposition Fusion Network with Domain Adaptive for Infrared and Visible Image FusionCode1
MonoDistill: Learning Spatial Features for Monocular 3D Object DetectionCode1
Monte Carlo Scene Search for 3D Scene UnderstandingCode1
Digging Into Self-Supervised Monocular Depth EstimationCode1
Diffusion-SS3D: Diffusion Model for Semi-supervised 3D Object DetectionCode1
DIP: Unsupervised Dense In-Context Post-training of Visual RepresentationsCode1
AeroRIT: A New Scene for Hyperspectral Image AnalysisCode1
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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