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 76–100 of 1723 papers

TitleStatusHype
Is Your LiDAR Placement Optimized for 3D Scene Understanding?Code2
Calib3D: Calibrating Model Preferences for Reliable 3D Scene UnderstandingCode2
Volumetric Environment Representation for Vision-Language NavigationCode2
FusionVision: A comprehensive approach of 3D object reconstruction and segmentation from RGB-D cameras using YOLO and fast segment anythingCode2
Delving into Multi-modal Multi-task Foundation Models for Road Scene Understanding: From Learning Paradigm PerspectivesCode2
Pixel-Wise Recognition for Holistic Surgical Scene UnderstandingCode2
MAPLM: A Real-World Large-Scale Vision-Language Benchmark for Map and Traffic Scene UnderstandingCode2
EmbodiedScan: A Holistic Multi-Modal 3D Perception Suite Towards Embodied AICode2
Chat-Scene: Bridging 3D Scene and Large Language Models with Object IdentifiersCode2
Gaussian Grouping: Segment and Edit Anything in 3D ScenesCode2
SpectralGPT: Spectral Remote Sensing Foundation ModelCode2
On the Road with GPT-4V(ision): Early Explorations of Visual-Language Model on Autonomous DrivingCode2
OpenIns3D: Snap and Lookup for 3D Open-vocabulary Instance SegmentationCode2
ScanNet++: A High-Fidelity Dataset of 3D Indoor ScenesCode2
Chat-3D: Data-efficiently Tuning Large Language Model for Universal Dialogue of 3D ScenesCode2
TaskExpert: Dynamically Assembling Multi-Task Representations with Memorial Mixture-of-ExpertsCode2
A Survey on Open-Vocabulary Detection and Segmentation: Past, Present, and FutureCode2
Towards Open Vocabulary Learning: A SurveyCode2
OpenMask3D: Open-Vocabulary 3D Instance SegmentationCode2
InvPT++: Inverted Pyramid Multi-Task Transformer for Visual Scene UnderstandingCode2
TextSLAM: Visual SLAM with Semantic Planar Text FeaturesCode2
TaskPrompter: Spatial-Channel Multi-Task Prompting for Dense Scene UnderstandingCode2
Swin3D: A Pretrained Transformer Backbone for 3D Indoor Scene UnderstandingCode2
Graph-based Topology Reasoning for Driving ScenesCode2
RegionPLC: Regional Point-Language Contrastive Learning for Open-World 3D Scene UnderstandingCode2
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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