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 1051–1060 of 1723 papers

Title	Date	Tasks	Status	Hype
Point Cloud Pre-Training With Natural 3D Structures	Jan 1, 2022	3D Object Detectionobject-detection	CodeCode Available	1
MSeg: A Composite Dataset for Multi-domain Semantic Segmentation	Dec 27, 2021	Computational EfficiencyInstance Segmentation	CodeCode Available	1
Channel-Wise Attention-Based Network for Self-Supervised Monocular Depth Estimation	Dec 24, 2021	Depth EstimationDepth Prediction	CodeCode Available	1
HSPACE: Synthetic Parametric Humans Animated in Complex Environments	Dec 23, 2021	3D Human Pose EstimationScene Understanding	—Unverified	0
Comprehensive Visual Question Answering on Point Clouds through Compositional Scene Manipulation	Dec 22, 2021	Common Sense ReasoningQuestion Answering	CodeCode Available	1
ScanQA: 3D Question Answering for Spatial Scene Understanding	Dec 20, 2021	3D Question Answering (3D-QA)Object	CodeCode Available	1
Distillation of Human-Object Interaction Contexts for Action Recognition	Dec 17, 2021	Action RecognitionGraph Attention	—Unverified	0
Activation Modulation and Recalibration Scheme for Weakly Supervised Semantic Segmentation	Dec 16, 2021	Feature ImportanceScene Understanding	CodeCode Available	1
Improving Human-Object Interaction Detection via Phrase Learning and Label Composition	Dec 14, 2021	Human-Object Interaction DetectionScene Understanding	—Unverified	0
Image-to-Height Domain Translation for Synthetic Aperture Sonar	Dec 12, 2021	Generative Adversarial NetworkScene Understanding	—Unverified	0

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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