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 251–260 of 1723 papers

Title	Date	Tasks	Status	Hype
CENet: Toward Concise and Efficient LiDAR Semantic Segmentation for Autonomous Driving	Jul 26, 2022	3D Semantic SegmentationAutonomous Driving	CodeCode Available	1
Cerberus Transformer: Joint Semantic, Affordance and Attribute Parsing	Nov 24, 2021	AttributeScene Understanding	CodeCode Available	1
No Train, all Gain: Self-Supervised Gradients Improve Deep Frozen Representations	Jul 15, 2024	AllImage Retrieval	CodeCode Available	1
Exploring Data-Efficient 3D Scene Understanding with Contrastive Scene Contexts	Dec 16, 2020	3D Semantic SegmentationInstance Segmentation	CodeCode Available	1
Extending Large Vision-Language Model for Diverse Interactive Tasks in Autonomous Driving	May 13, 2025	3D visual groundingAutonomous Driving	CodeCode Available	1
Automatic Extrinsic Calibration Method for LiDAR and Camera Sensor Setups	Jan 12, 2021	Scene Understanding	CodeCode Available	1
Event-aided Semantic Scene Completion	Feb 4, 2025	Autonomous DrivingScene Understanding	CodeCode Available	1
Event-based Motion Segmentation with Spatio-Temporal Graph Cuts	Dec 16, 2020	Motion SegmentationScene Understanding	CodeCode Available	1
AutoInst: Automatic Instance-Based Segmentation of LiDAR 3D Scans	Mar 24, 2024	3D Instance SegmentationInstance Segmentation	CodeCode Available	1
ALFWorld: Aligning Text and Embodied Environments for Interactive Learning	Oct 8, 2020	Natural Language Visual GroundingScene Understanding	CodeCode Available	1

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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