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 Added Most Hyped Most Active Needs Verification Most Verified

Showing 21–30 of 1723 papers

Title	Date	Tasks	Status	Hype
MoAI: Mixture of All Intelligence for Large Language and Vision Models	Mar 12, 2024	AllMixture-of-Experts	CodeCode Available	3
Embodied Understanding of Driving Scenarios	Mar 7, 2024	Autonomous DrivingLanguage Modeling	CodeCode Available	3
Swin3D++: Effective Multi-Source Pretraining for 3D Indoor Scene Understanding	Feb 22, 2024	DiversityScene Understanding	CodeCode Available	3
SGS-SLAM: Semantic Gaussian Splatting For Neural Dense SLAM	Feb 5, 2024	3D Semantic SegmentationCamera Pose Estimation	CodeCode Available	3
GARField: Group Anything with Radiance Fields	Jan 17, 2024	Scene Understanding	CodeCode Available	3
Generalized Robot 3D Vision-Language Model with Fast Rendering and Pre-Training Vision-Language Alignment	Dec 1, 2023	Contrastive LearningFew-Shot Learning	CodeCode Available	3
Monkey: Image Resolution and Text Label Are Important Things for Large Multi-modal Models	Nov 11, 2023	Image CaptioningMMR total	CodeCode Available	3
iDisc: Internal Discretization for Monocular Depth Estimation	Apr 13, 2023	Autonomous DrivingDepth Estimation	CodeCode Available	3
SurroundOcc: Multi-Camera 3D Occupancy Prediction for Autonomous Driving	Mar 16, 2023	3D Object DetectionAutonomous Driving	CodeCode Available	3
Feed-Forward SceneDINO for Unsupervised Semantic Scene Completion	Jul 8, 2025	3D geometryDomain Generalization	CodeCode Available	2

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All datasets Semantic Scene Understanding Challenge (passive actuation & ground-truth localisation)ADE20K val Semantic Scene Understanding Challenge (active actuation & ground-truth localisation)

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	ACRV Baseline	OMQ	0.44	—	Unverified
2	Team VGAI (TCS Research)	OMQ	0.37	—	Unverified
3	Demo_semantic_SLAM	OMQ	0.11	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	CPN(ResNet-101)	Mean IoU	46.3	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	ACRV Baseline	OMQ	0.35	—	Unverified