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

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Showing 1411–1420 of 1723 papers

Title	Date	Tasks	Status
Dynamic Interaction-Aware Scene Understanding for Reinforcement Learning in Autonomous Driving	Sep 30, 2019	Autonomous DrivingDecision Making	—Unverified
Meta Learning with Differentiable Closed-form Solver for Fast Video Object Segmentation	Sep 28, 2019	FormMeta-Learning	—Unverified
On the Pareto Efficiency of Quantized CNN	Sep 25, 2019	Gesture RecognitionQuantization	—Unverified
Large Scale Joint Semantic Re-Localisation and Scene Understanding via Globally Unique Instance Coordinate Regression	Sep 23, 2019	3D geometryAutonomous Driving	—Unverified
Simultaneous Segmentation and Recognition: Towards more accurate Ego Gesture Recognition	Sep 18, 2019	Activity RecognitionCaption Generation	—Unverified
Pose-aware Multi-level Feature Network for Human Object Interaction Detection	Sep 18, 2019	Human-Object Interaction DetectionObject	CodeCode Available
Multi-Task Learning for Automotive Foggy Scene Understanding via Domain Adaptation to an Illumination-Invariant Representation	Sep 17, 2019	DecoderDomain Adaptation	—Unverified
Visuomotor Understanding for Representation Learning of Driving Scenes	Sep 16, 2019	Optical Flow EstimationRepresentation Learning	—Unverified
Semantic Foreground Inpainting from Weak Supervision	Sep 10, 2019	Scene UnderstandingSemantic Segmentation	CodeCode Available
DublinCity: Annotated LiDAR Point Cloud and its Applications	Sep 6, 2019	3D ReconstructionScene 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