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 301–350 of 1723 papers

TitleStatusHype
Uncertainty-aware Panoptic SegmentationCode1
IBISCape: A Simulated Benchmark for multi-modal SLAM Systems Evaluation in Large-scale Dynamic EnvironmentsCode1
MGNet: Monocular Geometric Scene Understanding for Autonomous DrivingCode1
Panoramic Panoptic Segmentation: Insights Into Surrounding Parsing for Mobile Agents via Unsupervised Contrastive LearningCode1
Expressive Scene Graph Generation Using Commonsense Knowledge Infusion for Visual Understanding and ReasoningCode1
Spatiality-guided Transformer for 3D Dense Captioning on Point CloudsCode1
P3Depth: Monocular Depth Estimation with a Piecewise Planarity PriorCode1
Online panoptic 3D reconstruction as a Linear Assignment ProblemCode1
Point Scene Understanding via Disentangled Instance Mesh ReconstructionCode1
Collaborative Transformers for Grounded Situation RecognitionCode1
Learning to Answer Questions in Dynamic Audio-Visual ScenariosCode1
MuKEA: Multimodal Knowledge Extraction and Accumulation for Knowledge-based Visual Question AnsweringCode1
WeakM3D: Towards Weakly Supervised Monocular 3D Object DetectionCode1
Deep learning for radar data exploitation of autonomous vehicleCode1
Bending Reality: Distortion-aware Transformers for Adapting to Panoramic Semantic SegmentationCode1
TransKD: Transformer Knowledge Distillation for Efficient Semantic SegmentationCode1
RIConv++: Effective Rotation Invariant Convolutions for 3D Point Clouds Deep LearningCode1
RescueNet: A High Resolution UAV Semantic Segmentation Benchmark Dataset for Natural Disaster Damage AssessmentCode1
ReorientBot: Learning Object Reorientation for Specific-Posed PlacementCode1
3DRM:Pair-wise relation module for 3D object detectionCode1
SafePicking: Learning Safe Object Extraction via Object-Level MappingCode1
Transformers in Self-Supervised Monocular Depth Estimation with Unknown Camera IntrinsicsCode1
Global-Reasoned Multi-Task Learning Model for Surgical Scene UnderstandingCode1
MonoDistill: Learning Spatial Features for Monocular 3D Object DetectionCode1
Point Cloud Pre-Training With Natural 3D StructuresCode1
MSeg: A Composite Dataset for Multi-domain Semantic SegmentationCode1
Channel-Wise Attention-Based Network for Self-Supervised Monocular Depth EstimationCode1
Comprehensive Visual Question Answering on Point Clouds through Compositional Scene ManipulationCode1
ScanQA: 3D Question Answering for Spatial Scene UnderstandingCode1
Activation Modulation and Recalibration Scheme for Weakly Supervised Semantic SegmentationCode1
PolyphonicFormer: Unified Query Learning for Depth-aware Video Panoptic SegmentationCode1
Behind the Curtain: Learning Occluded Shapes for 3D Object DetectionCode1
AirObject: A Temporally Evolving Graph Embedding for Object IdentificationCode1
Instance-wise Occlusion and Depth Orders in Natural ScenesCode1
Cerberus Transformer: Joint Semantic, Affordance and Attribute ParsingCode1
Grounded Situation Recognition with TransformersCode1
ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D DataCode1
Learning Object-Centric Representations of Multi-Object Scenes from Multiple ViewsCode1
Panoptic 3D Scene Reconstruction From a Single RGB ImageCode1
3DP3: 3D Scene Perception via Probabilistic ProgrammingCode1
A Versatile and Efficient Reinforcement Learning Framework for Autonomous DrivingCode1
PlaneRecNet: Multi-Task Learning with Cross-Task Consistency for Piece-Wise Plane Detection and Reconstruction from a Single RGB ImageCode1
Structured Bird's-Eye-View Traffic Scene Understanding from Onboard ImagesCode1
KITTI-360: A Novel Dataset and Benchmarks for Urban Scene Understanding in 2D and 3DCode1
Semantic Segmentation-assisted Scene Completion for LiDAR Point CloudsCode1
Estimating and Exploiting the Aleatoric Uncertainty in Surface Normal EstimationCode1
PQ-Transformer: Jointly Parsing 3D Objects and Layouts from Point CloudsCode1
Spatio-temporal Self-Supervised Representation Learning for 3D Point CloudsCode1
From General to Specific: Informative Scene Graph Generation via Balance AdjustmentCode1
DeepPanoContext: Panoramic 3D Scene Understanding with Holistic Scene Context Graph and Relation-based OptimizationCode1
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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