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 1391–1400 of 1723 papers

Title	Date	Tasks	Status
DADA: Driver Attention Prediction in Driving Accident Scenarios	Dec 18, 2019	Driver Attention MonitoringPrediction	CodeCode Available
Inferring Distributions Over Depth from a Single Image	Dec 12, 2019	Autonomous VehiclesBinary Classification	CodeCode Available
CNN-based Lidar Point Cloud De-Noising in Adverse Weather	Dec 9, 2019	Autonomous VehiclesScene Understanding	CodeCode Available
Scene recognition based on DNN and game theory with its applications in human-robot interaction	Dec 3, 2019	Image RegistrationScene Recognition	—Unverified
Deep Learning based Switching Filter for Impulsive Noise Removal in Color Images	Dec 3, 2019	DenoisingImage Denoising	CodeCode Available
Modeling Expectation Violation in Intuitive Physics with Coarse Probabilistic Object Representations	Dec 1, 2019	Scene Understanding	CodeCode Available
Language-based Colorization of Scene Sketches	Nov 17, 2019	ColorizationImage Generation	CodeCode Available
Algorithmic Design and Implementation of Unobtrusive Multistatic Serial LiDAR Image	Nov 8, 2019	Scene Understanding	—Unverified
Knowledge Distillation for Incremental Learning in Semantic Segmentation	Nov 8, 2019	image-classificationImage Classification	—Unverified
PT-ResNet: Perspective Transformation-Based Residual Network for Semantic Road Image Segmentation	Oct 29, 2019	Image Segmentationroad scene understanding	—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