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
Self-distillation for surgical action recognition	Mar 22, 2023	Action RecognitionMedical Image Analysis	CodeCode Available	1
Constructing Metric-Semantic Maps using Floor Plan Priors for Long-Term Indoor Localization	Mar 20, 2023	3D Object DetectionIndoor Localization	CodeCode Available	1
PiMAE: Point Cloud and Image Interactive Masked Autoencoders for 3D Object Detection	Mar 14, 2023	3D Object DetectionDecoder	CodeCode Available	1
Traffic Scene Parsing through the TSP6K Dataset	Mar 6, 2023	Autonomous DrivingDecoder	CodeCode Available	1
CEKD: Cross-Modal Edge-Privileged Knowledge Distillation for Semantic Scene Understanding Using Only Thermal Images	Feb 22, 2023	Knowledge DistillationScene Understanding	CodeCode Available	1
Deep Learning for Event-based Vision: A Comprehensive Survey and Benchmarks	Feb 17, 2023	DeblurringDeep Learning	CodeCode Available	1
3D Neural Embedding Likelihood: Probabilistic Inverse Graphics for Robust 6D Pose Estimation	Feb 7, 2023	6D Pose Estimation6D Pose Estimation using RGB	CodeCode Available	1
OvarNet: Towards Open-vocabulary Object Attribute Recognition	Jan 23, 2023	AttributeKnowledge Distillation	CodeCode Available	1
Unleash the Potential of Image Branch for Cross-modal 3D Object Detection	Jan 22, 2023	3D Object DetectionAutonomous Vehicles	CodeCode Available	1
CLIP2Scene: Towards Label-efficient 3D Scene Understanding by CLIP	Jan 12, 2023	3D Semantic SegmentationContrastive Learning	CodeCode Available	1

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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