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 471–480 of 1723 papers

Title	Date	Tasks	Status	Hype
DeepScores -- A Dataset for Segmentation, Detection and Classification of Tiny Objects	Mar 27, 2018	General ClassificationObject	CodeCode Available	1
Semantic Line Detection and Its Applications	Oct 1, 2017	ClassificationGeneral Classification	CodeCode Available	1
LinkNet: Exploiting Encoder Representations for Efficient Semantic Segmentation	Jun 14, 2017	GPUScene Understanding	CodeCode Available	1
ScanNet: Richly-annotated 3D Reconstructions of Indoor Scenes	Feb 14, 2017	3D Object ClassificationGeneral Classification	CodeCode Available	1
Joint 2D-3D-Semantic Data for Indoor Scene Understanding	Feb 3, 2017	Scene Understanding	CodeCode Available	1
The Cityscapes Dataset for Semantic Urban Scene Understanding	Apr 6, 2016	object-detectionObject Detection	CodeCode Available	1
Bayesian SegNet: Model Uncertainty in Deep Convolutional Encoder-Decoder Architectures for Scene Understanding	Nov 9, 2015	Decision MakingDecoder	CodeCode Available	1
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation	Nov 2, 2015	Crowd CountingDecoder	CodeCode Available	1
Microsoft COCO: Common Objects in Context	May 1, 2014	Instance SegmentationObject	CodeCode Available	1
Argus: Leveraging Multiview Images for Improved 3-D Scene Understanding With Large Language Models	Jul 17, 2025	3D Point Cloud ReconstructionPoint cloud reconstruction	—Unverified	0

Show:10 25 50

← PrevPage 48 of 173Next →

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