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 321–330 of 1723 papers

Title	Date	Tasks	Status	Hype	Score
AutoInst: Automatic Instance-Based Segmentation of LiDAR 3D Scans	Mar 24, 2024	3D Instance SegmentationInstance Segmentation	CodeCode Available	1	5
Cross-Modal and Uncertainty-Aware Agglomeration for Open-Vocabulary 3D Scene Understanding	Mar 20, 2025	Scene Understanding	CodeCode Available	1	5
A Survey on Deep Learning for Localization and Mapping: Towards the Age of Spatial Machine Intelligence	Jun 22, 2020	Deep LearningScene Understanding	CodeCode Available	1	5
Diffusion-SS3D: Diffusion Model for Semi-supervised 3D Object Detection	Dec 5, 2023	3D Object DetectionDenoising	CodeCode Available	1	5
A Survey of World Models for Autonomous Driving	Jan 20, 2025	Anomaly DetectionAutonomous Driving	CodeCode Available	1	5
Affect2MM: Affective Analysis of Multimedia Content Using Emotion Causality	Mar 11, 2021	Scene UnderstandingTime Series	CodeCode Available	1	5
CSFNet: A Cosine Similarity Fusion Network for Real-Time RGB-X Semantic Segmentation of Driving Scenes	Jul 1, 2024	Autonomous VehiclesImage Segmentation	CodeCode Available	1	5
Curriculum Model Adaptation with Synthetic and Real Data for Semantic Foggy Scene Understanding	Jan 5, 2019	Domain AdaptationScene Understanding	CodeCode Available	1	5
Auto-Panoptic: Cooperative Multi-Component Architecture Search for Panoptic Segmentation	Oct 30, 2020	Instance SegmentationPanoptic Segmentation	CodeCode Available	1	5
Microsoft COCO: Common Objects in Context	May 1, 2014	Instance SegmentationObject	CodeCode Available	1	5

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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