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 261–270 of 1723 papers

Title	Date	Tasks	Status	Hype	Score
Learning Triadic Belief Dynamics in Nonverbal Communication from Videos	Apr 7, 2021	Scene Understanding	CodeCode Available	1	5
Living Scenes: Multi-object Relocalization and Reconstruction in Changing 3D Environments	Dec 14, 2023	3D ReconstructionDecoder	CodeCode Available	1	5
MCTS with Refinement for Proposals Selection Games in Scene Understanding	Jul 7, 2022	Scene Understanding	CodeCode Available	1	5
DeepPanoContext: Panoramic 3D Scene Understanding with Holistic Scene Context Graph and Relation-based Optimization	Aug 24, 2021	DiversityGraph Neural Network	CodeCode Available	1	5
Learning Multi-Granular Spatio-Temporal Graph Network for Skeleton-based Action Recognition	Aug 10, 2021	Action ClassificationAction Recognition	CodeCode Available	1	5
Deep Learning for Event-based Vision: A Comprehensive Survey and Benchmarks	Feb 17, 2023	DeblurringDeep Learning	CodeCode Available	1	5
Deep learning for radar data exploitation of autonomous vehicle	Mar 15, 2022	Autonomous DrivingDeep Learning	CodeCode Available	1	5
Learning Human-Object Interaction Detection using Interaction Points	Mar 31, 2020	Human-Object Interaction DetectionKeypoint Detection	CodeCode Available	1	5
A Two-Stage Masked Autoencoder Based Network for Indoor Depth Completion	Jun 14, 2024	3D ReconstructionAutonomous Driving	CodeCode Available	1	5
AirObject: A Temporally Evolving Graph Embedding for Object Identification	Nov 30, 2021	Graph AttentionGraph Embedding	CodeCode Available	1	5

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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