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 126–150 of 1723 papers

TitleStatusHype
FocusFlow: Boosting Key-Points Optical Flow Estimation for Autonomous DrivingCode1
FreDSNet: Joint Monocular Depth and Semantic Segmentation with Fast Fourier ConvolutionsCode1
Few-Shot Object Detection and Viewpoint Estimation for Objects in the WildCode1
Arabic Scene Text Recognition in the Deep Learning Era: Analysis on A Novel DatasetCode1
FloodNet: A High Resolution Aerial Imagery Dataset for Post Flood Scene UnderstandingCode1
From General to Specific: Informative Scene Graph Generation via Balance AdjustmentCode1
Extending Large Vision-Language Model for Diverse Interactive Tasks in Autonomous DrivingCode1
Expressive Scene Graph Generation Using Commonsense Knowledge Infusion for Visual Understanding and ReasoningCode1
A2-FPN for Semantic Segmentation of Fine-Resolution Remotely Sensed ImagesCode1
Exploiting Edge-Oriented Reasoning for 3D Point-based Scene Graph AnalysisCode1
AVSegFormer: Audio-Visual Segmentation with TransformerCode1
Exploring Data-Efficient 3D Scene Understanding with Contrastive Scene ContextsCode1
From Multi-View to Hollow-3D: Hallucinated Hollow-3D R-CNN for 3D Object DetectionCode1
Global-Reasoned Multi-Task Learning Model for Surgical Scene UnderstandingCode1
Estimating and Exploiting the Aleatoric Uncertainty in Surface Normal EstimationCode1
Auto-Panoptic: Cooperative Multi-Component Architecture Search for Panoptic SegmentationCode1
Estimating Generic 3D Room Structures from 2D AnnotationsCode1
Automatic Extrinsic Calibration Method for LiDAR and Camera Sensor SetupsCode1
OK-VQA: A Visual Question Answering Benchmark Requiring External KnowledgeCode1
Event-aided Semantic Scene CompletionCode1
A Data-Centric Revisit of Pre-Trained Vision Models for Robot LearningCode1
EndoChat: Grounded Multimodal Large Language Model for Endoscopic SurgeryCode1
3DRM:Pair-wise relation module for 3D object detectionCode1
Enhancing Scene Graph Generation with Hierarchical Relationships and Commonsense KnowledgeCode1
Event-based Motion Segmentation with Spatio-Temporal Graph CutsCode1
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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