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 1611–1620 of 1723 papers

Title	Date	Tasks	Status
Joint Semantic and Motion Segmentation for dynamic scenes using Deep Convolutional Networks	Apr 18, 2017	Motion SegmentationOptical Flow Estimation	—Unverified
Computer Vision for Autonomous Vehicles: Problems, Datasets and State of the Art	Apr 18, 2017	Autonomous DrivingAutonomous Vehicles	—Unverified
Visual Vibrometry: Estimating MaterialProperties from Small Motions in Video	Apr 15, 2017	ObjectScene Understanding	—Unverified
Visual Vibrometry: Estimating Material Properties from Small Motions in Video	Apr 15, 2017	Scene Understanding	—Unverified
Configurable 3D Scene Synthesis and 2D Image Rendering with Per-Pixel Ground Truth using Stochastic Grammars	Apr 1, 2017	BenchmarkingObject	—Unverified
SeGAN: Segmenting and Generating the Invisible	Mar 29, 2017	Depth EstimationScene Understanding	CodeCode Available
Multi-View Deep Learning for Consistent Semantic Mapping with RGB-D Cameras	Mar 26, 2017	Scene UnderstandingSegmentation	—Unverified
Predicting Deeper into the Future of Semantic Segmentation	Mar 22, 2017	AttributeAutonomous Driving	CodeCode Available
Pop-up SLAM: Semantic Monocular Plane SLAM for Low-texture Environments	Mar 21, 2017	Motion PlanningScene Understanding	—Unverified
DA-RNN: Semantic Mapping with Data Associated Recurrent Neural Networks	Mar 9, 2017	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