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 1461–1470 of 1723 papers

Title	Date	Tasks	Status
Quantitative Depth Quality Assessment of RGBD Cameras At Close Range Using 3D Printed Fixtures	Mar 21, 2019	Scene Understanding	CodeCode Available
Affordance Learning In Direct Perception for Autonomous Driving	Mar 20, 2019	AttributeAutonomous Driving	—Unverified
Real time backbone for semantic segmentation	Mar 16, 2019	Autonomous DrivingModel Compression	—Unverified
Instance- and Category-level 6D Object Pose Estimation	Mar 11, 2019	6D Pose Estimation using RGBObject	—Unverified
Building an Affordances Map with Interactive Perception	Mar 11, 2019	General ClassificationScene Understanding	—Unverified
Hierarchy Denoising Recursive Autoencoders for 3D Scene Layout Prediction	Mar 9, 2019	DenoisingObject	—Unverified
The H3D Dataset for Full-Surround 3D Multi-Object Detection and Tracking in Crowded Urban Scenes	Mar 4, 2019	3D Object DetectionObject	—Unverified
An efficient solution for semantic segmentation: ShuffleNet V2 with atrous separable convolutions	Feb 20, 2019	Autonomous DrivingScene Understanding	CodeCode Available
Deeply Supervised Multimodal Attentional Translation Embeddings for Visual Relationship Detection	Feb 15, 2019	Relationship DetectionScene Understanding	CodeCode Available
Gated2Depth: Real-time Dense Lidar from Gated Images	Feb 13, 2019	Scene Understanding	CodeCode Available

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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