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 176–200 of 1723 papers

TitleStatusHype
Expressive Scene Graph Generation Using Commonsense Knowledge Infusion for Visual Understanding and ReasoningCode1
Extending Large Vision-Language Model for Diverse Interactive Tasks in Autonomous DrivingCode1
FloodNet: A High Resolution Aerial Imagery Dataset for Post Flood Scene UnderstandingCode1
Explainable Object-induced Action Decision for Autonomous VehiclesCode1
Bayesian SegNet: Model Uncertainty in Deep Convolutional Encoder-Decoder Architectures for Scene UnderstandingCode1
A2-FPN for Semantic Segmentation of Fine-Resolution Remotely Sensed ImagesCode1
Exploiting Edge-Oriented Reasoning for 3D Point-based Scene Graph AnalysisCode1
Boundary-induced and scene-aggregated network for monocular depth predictionCode1
BEVDistill: Cross-Modal BEV Distillation for Multi-View 3D Object DetectionCode1
Beyond Appearances: Material Segmentation with Embedded Spectral Information from RGB-D imageryCode1
FreDSNet: Joint Monocular Depth and Semantic Segmentation with Fast Fourier ConvolutionsCode1
3DP3: 3D Scene Perception via Probabilistic ProgrammingCode1
Event-based Motion Segmentation with Spatio-Temporal Graph CutsCode1
Exploring Data-Efficient 3D Scene Understanding with Contrastive Scene ContextsCode1
FocusFlow: Boosting Key-Points Optical Flow Estimation for Autonomous DrivingCode1
Enhancing Scene Graph Generation with Hierarchical Relationships and Commonsense KnowledgeCode1
Boosting Omnidirectional Stereo Matching with a Pre-trained Depth Foundation ModelCode1
Bidirectional Projection Network for Cross Dimension Scene UnderstandingCode1
AVSegFormer: Audio-Visual Segmentation with TransformerCode1
Bi-level Dynamic Learning for Jointly Multi-modality Image Fusion and BeyondCode1
Global-Reasoned Multi-Task Learning Model for Surgical Scene UnderstandingCode1
Bootstraping Clustering of Gaussians for View-consistent 3D Scene UnderstandingCode1
EndoChat: Grounded Multimodal Large Language Model for Endoscopic SurgeryCode1
Estimating and Exploiting the Aleatoric Uncertainty in Surface Normal EstimationCode1
Efficient Multi-Task RGB-D Scene Analysis for Indoor EnvironmentsCode1
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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