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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 201–250 of 1723 papers

TitleStatusHype
DI-V2X: Learning Domain-Invariant Representation for Vehicle-Infrastructure Collaborative 3D Object DetectionCode1
ECLAIR: A High-Fidelity Aerial LiDAR Dataset for Semantic SegmentationCode1
Egocentric Scene Understanding via Multimodal Spatial RectifierCode1
LinkNet: Exploiting Encoder Representations for Efficient Semantic SegmentationCode1
BoMuDANet: Unsupervised Adaptation for Visual Scene Understanding in Unstructured Driving EnvironmentsCode1
Efficient Multi-Task RGB-D Scene Analysis for Indoor EnvironmentsCode1
Dense Audio-Visual Event Localization under Cross-Modal Consistency and Multi-Temporal Granularity CollaborationCode1
Bootstraping Clustering of Gaussians for View-consistent 3D Scene UnderstandingCode1
3DP3: 3D Scene Perception via Probabilistic ProgrammingCode1
Digging Into Self-Supervised Monocular Depth EstimationCode1
A Data-Centric Revisit of Pre-Trained Vision Models for Robot LearningCode1
Boundary-induced and scene-aggregated network for monocular depth predictionCode1
Language Embedded 3D Gaussians for Open-Vocabulary Scene UnderstandingCode1
Estimating and Exploiting the Aleatoric Uncertainty in Surface Normal EstimationCode1
OK-VQA: A Visual Question Answering Benchmark Requiring External KnowledgeCode1
Event-based Motion Segmentation with Spatio-Temporal Graph CutsCode1
Learning How To Robustly Estimate Camera Pose in Endoscopic VideosCode1
M3D-RPN: Monocular 3D Region Proposal Network for Object DetectionCode1
Exploring Data-Efficient 3D Scene Understanding with Contrastive Scene ContextsCode1
Bridging the Domain Gap: Self-Supervised 3D Scene Understanding with Foundation ModelsCode1
Exploiting Edge-Oriented Reasoning for 3D Point-based Scene Graph AnalysisCode1
Explainable Object-induced Action Decision for Autonomous VehiclesCode1
Learning to Answer Questions in Dynamic Audio-Visual ScenariosCode1
DeepPanoContext: Panoramic 3D Scene Understanding with Holistic Scene Context Graph and Relation-based OptimizationCode1
KITTI-360: A Novel Dataset and Benchmarks for Urban Scene Understanding in 2D and 3DCode1
MLRSNet: A Multi-label High Spatial Resolution Remote Sensing Dataset for Semantic Scene UnderstandingCode1
CAKES: Channel-wise Automatic KErnel Shrinking for Efficient 3D NetworksCode1
Knowledge Distillation from 3D to Bird's-Eye-View for LiDAR Semantic SegmentationCode1
AVSegFormer: Audio-Visual Segmentation with TransformerCode1
CamContextI2V: Context-aware Controllable Video GenerationCode1
DeepScores -- A Dataset for Segmentation, Detection and Classification of Tiny ObjectsCode1
F-ViTA: Foundation Model Guided Visible to Thermal TranslationCode1
FocusFlow: Boosting Key-Points Optical Flow Estimation for Autonomous DrivingCode1
Campus3D: A Photogrammetry Point Cloud Benchmark for Hierarchical Understanding of Outdoor SceneCode1
Joint 2D-3D-Semantic Data for Indoor Scene UnderstandingCode1
From General to Specific: Informative Scene Graph Generation via Balance AdjustmentCode1
From Multi-View to Hollow-3D: Hallucinated Hollow-3D R-CNN for 3D Object DetectionCode1
MSeg: A Composite Dataset for Multi-domain Semantic SegmentationCode1
Lane Graph Estimation for Scene Understanding in Urban DrivingCode1
Deep Learning for Event-based Vision: A Comprehensive Survey and BenchmarksCode1
Instance-wise Occlusion and Depth Orders in Natural ScenesCode1
MuKEA: Multimodal Knowledge Extraction and Accumulation for Knowledge-based Visual Question AnsweringCode1
A Review of Panoptic Segmentation for Mobile Mapping Point CloudsCode1
Deep learning for radar data exploitation of autonomous vehicleCode1
IRS: A Large Naturalistic Indoor Robotics Stereo Dataset to Train Deep Models for Disparity and Surface Normal EstimationCode1
General Geometry-aware Weakly Supervised 3D Object DetectionCode1
Language-Assisted 3D Feature Learning for Semantic Scene UnderstandingCode1
All-Day Multi-Camera Multi-Target TrackingCode1
DD-PPO: Learning Near-Perfect PointGoal Navigators from 2.5 Billion FramesCode1
Auto-Panoptic: Cooperative Multi-Component Architecture Search for Panoptic SegmentationCode1
Show:102550
← PrevPage 5 of 35Next →
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