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 1571–1580 of 1723 papers

Title	Date	Tasks	Status	Hype
ERFNet: Efficient Residual Factorized ConvNet for Real-time Semantic Segmentation	Oct 9, 2017	GPUReal-Time Semantic Segmentation	CodeCode Available	0
SceneNet RGB-D: Can 5M Synthetic Images Beat Generic ImageNet Pre-Training on Indoor Segmentation?	Oct 1, 2017	16kCamera Pose Estimation	—Unverified	0
Semantic Line Detection and Its Applications	Oct 1, 2017	ClassificationGeneral Classification	CodeCode Available	1
The Mapillary Vistas Dataset for Semantic Understanding of Street Scenes	Oct 1, 2017	DiversityImage Segmentation	—Unverified	0
Dense RGB-D semantic mapping with Pixel-Voxel neural network	Sep 30, 2017	3D ReconstructionGPU	—Unverified	0
Hierarchical Scene Parsing by Weakly Supervised Learning with Image Descriptions	Sep 27, 2017	DescriptiveObject	—Unverified	0
J-MOD^2: Joint Monocular Obstacle Detection and Depth Estimation	Sep 25, 2017	Depth EstimationScene Understanding	—Unverified	0
Matterport3D: Learning from RGB-D Data in Indoor Environments	Sep 18, 2017	General ClassificationScene Understanding	CodeCode Available	0
Direction-Aware Semi-Dense SLAM	Sep 18, 2017	Scene UnderstandingSegmentation	—Unverified	0
Automatic Ground Truths: Projected Image Annotations for Omnidirectional Vision	Sep 12, 2017	object-detectionObject Detection	—Unverified	0

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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