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 1601–1610 of 1723 papers

Title	Date	Tasks	Status
Segmentation Guided Attention Networks for Visual Question Answering	Jul 1, 2017	Common Sense ReasoningQuestion Answering	—Unverified
Efficient ConvNet for Real-time Semantic Segmentation	Jun 1, 2017	GPUReal-Time Semantic Segmentation	CodeCode Available
Dilated Residual Networks	May 28, 2017	ClassificationGeneral Classification	CodeCode Available
Towards seamless multi-view scene analysis from satellite to street-level	May 23, 2017	Change DetectionEarth Observation	—Unverified
Classification of Aerial Photogrammetric 3D Point Clouds	May 23, 2017	ClassificationGeneral Classification	—Unverified
DepthCut: Improved Depth Edge Estimation Using Multiple Unreliable Channels	May 22, 2017	Scene UnderstandingSegmentation	—Unverified
What do We Learn by Semantic Scene Understanding for Remote Sensing imagery in CNN framework?	May 19, 2017	Object RecognitionScene Recognition	—Unverified
3D Semantic Segmentation of Modular Furniture using rjMCMC	May 15, 2017	3D Semantic Segmentationfurniture segmentation	CodeCode Available
A Review on Deep Learning Techniques Applied to Semantic Segmentation	Apr 22, 2017	Autonomous DrivingDeep Learning	CodeCode Available
Identifying First-person Camera Wearers in Third-person Videos	Apr 20, 2017	Activity RecognitionObject Tracking	—Unverified

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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