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 901–925 of 1723 papers

TitleStatusHype
Towards Scene Understanding for Autonomous Operations on Airport ApronsCode1
Review on 6D Object Pose Estimation with the focus on Indoor Scene Understanding—0
3D Object Aided Self-Supervised Monocular Depth Estimation—0
Prediction of Scene Plausibility—0
SGDraw: Scene Graph Drawing Interface Using Object-Oriented RepresentationCode0
PLA: Language-Driven Open-Vocabulary 3D Scene UnderstandingCode2
Task-Aware Asynchronous Multi-Task Model with Class Incremental Contrastive Learning for Surgical Scene UnderstandingCode0
OpenScene: 3D Scene Understanding with Open VocabulariesCode2
Learning 3D Scene Priors with 2D Supervision—0
Language-Assisted 3D Feature Learning for Semantic Scene UnderstandingCode1
PointCA: Evaluating the Robustness of 3D Point Cloud Completion Models Against Adversarial Examples—0
Doubly Contrastive End-to-End Semantic Segmentation for Autonomous Driving under Adverse WeatherCode0
Computational Imaging for Machine Perception: Transferring Semantic Segmentation beyond AberrationsCode0
Object-level 3D Semantic Mapping using a Network of Smart Edge Sensors—0
An Enhanced Object Detection Model for Scene Graph Generation—0
BEVDistill: Cross-Modal BEV Distillation for Multi-View 3D Object DetectionCode1
FlowGrad: Using Motion for Visual Sound Source LocalizationCode0
Monocular BEV Perception of Road Scenes via Front-to-Top View Projection—0
Visually Grounded VQA by Lattice-based RetrievalCode0
User Identification: A Key Enabler for Multi-User Vision-Aided Communications—0
RGB-T Semantic Segmentation with Location, Activation, and SharpeningCode1
Visual Semantic Parsing: From Images to Abstract Meaning Representation—0
Sim-to-Real via Sim-to-Seg: End-to-end Off-road Autonomous Driving Without Real DataCode1
Pareto Manifold Learning: Tackling multiple tasks via ensembles of single-task modelsCode1
Number-Adaptive Prototype Learning for 3D Point Cloud Semantic 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