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 1421–1430 of 1723 papers

Title	Date	Tasks	Status
Holistic++ Scene Understanding: Single-view 3D Holistic Scene Parsing and Human Pose Estimation with Human-Object Interaction and Physical Commonsense	Sep 4, 2019	3D Human Pose EstimationHuman-Object Interaction Detection	—Unverified
Texture Underfitting for Domain Adaptation	Aug 29, 2019	Autonomous DrivingDomain Adaptation	—Unverified
Rotation Invariant Convolutions for 3D Point Clouds Deep Learning	Aug 17, 2019	Deep LearningScene Understanding	CodeCode Available
RIO: 3D Object Instance Re-Localization in Changing Indoor Environments	Aug 16, 2019	ObjectScene Understanding	CodeCode Available
To complete or to estimate, that is the question: A Multi-Task Approach to Depth Completion and Monocular Depth Estimation	Aug 15, 2019	Autonomous DrivingDepth Completion	—Unverified
Learning Densities in Feature Space for Reliable Segmentation of Indoor Scenes	Aug 1, 2019	Scene UnderstandingSemantic Segmentation	—Unverified
MultiDepth: Single-Image Depth Estimation via Multi-Task Regression and Classification	Jul 25, 2019	Autonomous VehiclesClassification	CodeCode Available
Object as Distribution	Jul 25, 2019	Autonomous DrivingInstance Segmentation	—Unverified
Improving Social Awareness Through DANTE: A Deep Affinity Network for Clustering Conversational Interactants	Jul 24, 2019	ClusteringGraph Clustering	CodeCode Available
SDNet: Semantically Guided Depth Estimation Network	Jul 24, 2019	Autonomous VehiclesDepth Estimation	—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