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 701–750 of 1723 papers

TitleStatusHype
Instance- and Category-level 6D Object Pose Estimation—0
Deep Optics for Monocular Depth Estimation and 3D Object Detection—0
BEHAVIOR Vision Suite: Customizable Dataset Generation via Simulation—0
LLaVA-3D: A Simple yet Effective Pathway to Empowering LMMs with 3D-awareness—0
BBBD: Bounding Box Based Detector for Occlusion Detection and Order Recovery—0
Deeply Learned Attributes for Crowded Scene Understanding—0
Analogical Image Translation for Fog Generation—0
InLUT3D: Challenging real indoor dataset for point cloud analysis—0
Lite-HDSeg: LiDAR Semantic Segmentation Using Lite Harmonic Dense Convolutions—0
Inferring Shared Attention in Social Scene Videos—0
Deep Learning Techniques for Geospatial Data Analysis—0
LiveHPS: LiDAR-based Scene-level Human Pose and Shape Estimation in Free Environment—0
Living in a Material World: Learning Material Properties from Full-Waveform Flash Lidar Data for Semantic Segmentation—0
Indoor Semantic Scene Understanding using Multi-modality Fusion—0
In pixels we trust: From Pixel Labeling to Object Localization and Scene Categorization—0
In-Place Panoptic Radiance Field Segmentation with Perceptual Prior for 3D Scene Understanding—0
Input-Output Balanced Framework for Long-tailed LiDAR Semantic Segmentation—0
Indoor Scene Understanding in 2.5/3D for Autonomous Agents: A Survey—0
Incremental Learning for Robot Perception through HRI—0
InstanceGaussian: Appearance-Semantic Joint Gaussian Representation for 3D Instance-Level Perception—0
Axiom Learning and Belief Tracing for Transparent Decision Making in Robotics—0
Content Adaptive Front End For Audio Classification—0
Incorporating Structured Representations into Pretrained Vision & Language Models Using Scene Graphs—0
Interactive Attention AI to translate low light photos to captions for night scene understanding in women safety—0
Deep Point Cloud Simplification for High-quality Surface Reconstruction—0
Interactive Occlusion Boundary Estimation through Exploitation of Synthetic Data—0
Interpretable End-to-End Driving Model for Implicit Scene Understanding—0
Deep Robust Single Image Depth Estimation Neural Network Using Scene Understanding—0
Into the Wild with AudioScope: Unsupervised Audio-Visual Separation of On-Screen Sounds—0
Incorporating Scene Context and Object Layout into Appearance Modeling—0
Deep Learning Advances in Vision-Based Traffic Accident Anticipation: A Comprehensive Review of Methods,Datasets,and Future Directions—0
Incorporating Explanations into Human-Machine Interfaces for Trust and Situation Awareness in Autonomous Vehicles—0
iReason: Multimodal Commonsense Reasoning using Videos and Natural Language with Interpretability—0
A Multi-purpose Realistic Haze Benchmark with Quantifiable Haze Levels and Ground Truth—0
Lowis3D: Language-Driven Open-World Instance-Level 3D Scene Understanding—0
InCoRo: In-Context Learning for Robotics Control with Feedback Loops—0
J-MOD^2: Joint Monocular Obstacle Detection and Depth Estimation—0
Deep Learned Full-3D Object Completion from Single View—0
Improving Online Lane Graph Extraction by Object-Lane Clustering—0
Joint Modeling of Visual Objects and Relations for Scene Graph Generation—0
Joint Optical Flow and Temporally Consistent Semantic Segmentation—0
Joint prototype and coefficient prediction for 3D instance segmentation—0
A Weakly-Supervised Depth Estimation Network Using Attention Mechanism—0
Leveraging Large-Scale Pretrained Vision Foundation Models for Label-Efficient 3D Point Cloud Segmentation—0
Improving Human-Object Interaction Detection via Phrase Learning and Label Composition—0
3D Pose Regression using Convolutional Neural Networks—0
Improving Building Segmentation for Off-Nadir Satellite Imagery—0
Kestrel: Point Grounding Multimodal LLM for Part-Aware 3D Vision-Language Understanding—0
Improving 6D Object Pose Estimation of metallic Household and Industry Objects—0
Deep ensembles based on Stochastic Activation Selection for Polyp Segmentation—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