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 726–750 of 1723 papers

TitleStatusHype
Explore and Tell: Embodied Visual Captioning in 3D Environments—0
Vision Relation Transformer for Unbiased Scene Graph GenerationCode1
Chat-3D: Data-efficiently Tuning Large Language Model for Universal Dialogue of 3D ScenesCode2
CASPNet++: Joint Multi-Agent Motion Prediction—0
FocusFlow: Boosting Key-Points Optical Flow Estimation for Autonomous DrivingCode1
Temporal DINO: A Self-supervised Video Strategy to Enhance Action Prediction—0
Syn-Mediverse: A Multimodal Synthetic Dataset for Intelligent Scene Understanding of Healthcare Facilities—0
Cognitive TransFuser: Semantics-guided Transformer-based Sensor Fusion for Improved Waypoint PredictionCode0
Scene-aware Human Pose Generation using Transformer—0
Weakly Supervised 3D Instance Segmentation without Instance-level Annotations—0
Interpretable End-to-End Driving Model for Implicit Scene Understanding—0
Gated Driver Attention PredictorCode0
Lowis3D: Language-Driven Open-World Instance-Level 3D Scene Understanding—0
TaskExpert: Dynamically Assembling Multi-Task Representations with Memorial Mixture-of-ExpertsCode2
OAFuser: Towards Omni-Aperture Fusion for Light Field Semantic SegmentationCode1
Human-centric Scene Understanding for 3D Large-scale ScenariosCode1
Enhancing image captioning with depth information using a Transformer-based framework—0
Challenges for Monocular 6D Object Pose Estimation in Robotics—0
Revisiting Distillation for Continual Learning on Visual Question Localized-Answering in Robotic SurgeryCode0
Improving Online Lane Graph Extraction by Object-Lane Clustering—0
Mining Conditional Part Semantics with Occluded Extrapolation for Human-Object Interaction Detection—0
CPCM: Contextual Point Cloud Modeling for Weakly-supervised Point Cloud Semantic SegmentationCode1
Towards A Unified Agent with Foundation Models—0
Human Action Recognition in Still Images Using ConViT—0
A Survey on Open-Vocabulary Detection and Segmentation: Past, Present, and FutureCode2
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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