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 1126–1150 of 1723 papers

TitleStatusHype
An Enhanced Object Detection Model for Scene Graph Generation—0
Monocular BEV Perception of Road Scenes via Front-to-Top View Projection—0
FlowGrad: Using Motion for Visual Sound Source LocalizationCode0
Visually Grounded VQA by Lattice-based RetrievalCode0
User Identification: A Key Enabler for Multi-User Vision-Aided Communications—0
Visual Semantic Parsing: From Images to Abstract Meaning Representation—0
Number-Adaptive Prototype Learning for 3D Point Cloud Semantic Segmentation—0
Novel 3D Scene Understanding Applications From Recurrence in a Single Image—0
Segmentation-guided Domain Adaptation for Efficient Depth Completion—0
EarthNets: Empowering AI in Earth Observation—0
Uncertainty-aware LiDAR Panoptic SegmentationCode0
Flow-based GAN for 3D Point Cloud Generation from a Single ImageCode0
Feature-Realistic Neural Fusion for Real-Time, Open Set Scene Understanding—0
GaIA: Graphical Information Gain based Attention Network for Weakly Supervised Point Cloud Semantic SegmentationCode0
A Survey on Knowledge Graph-based Methods for Automated Driving—0
Towards Multimodal Multitask Scene Understanding Models for Indoor Mobile Agents—0
Stochastic Future Prediction in Real World Driving Scenarios—0
A Review on Visual-SLAM: Advancements from Geometric Modelling to Learning-based Semantic Scene Understanding—0
Sequential Cross Attention Based Multi-task LearningCode0
Neuromorphic Visual Scene Understanding with Resonator Networks—0
Learning in Audio-visual Context: A Review, Analysis, and New Perspective—0
Safety Assessment for Autonomous Systems' Perception Capabilities—0
Collaborative Propagation on Multiple Instance Graphs for 3D Instance Segmentation with Single-point SupervisionCode0
AutoLaparo: A New Dataset of Integrated Multi-tasks for Image-guided Surgical Automation in Laparoscopic Hysterectomy—0
CompNVS: Novel View Synthesis with Scene Completion—0
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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