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 361–370 of 1723 papers

Title	Date	Tasks	Status	Hype
Class-Incremental Domain Adaptation with Smoothing and Calibration for Surgical Report Generation	Jul 23, 2021	Domain AdaptationFew-Shot Learning	CodeCode Available	1
SynPick: A Dataset for Dynamic Bin Picking Scene Understanding	Jul 10, 2021	ARCDataset Generation	CodeCode Available	1
A Survey on Deep Learning Technique for Video Segmentation	Jul 2, 2021	Autonomous DrivingDeep Learning	CodeCode Available	1
P2T: Pyramid Pooling Transformer for Scene Understanding	Jun 22, 2021	image-classificationImage Classification	CodeCode Available	1
EPMF: Efficient Perception-aware Multi-sensor Fusion for 3D Semantic Segmentation	Jun 21, 2021	3D Semantic SegmentationAutonomous Driving	CodeCode Available	1
Projecting Your View Attentively: Monocular Road Scene Layout Estimation via Cross-View Transformation	Jun 19, 2021	Autonomous DrivingGPU	CodeCode Available	1
Part-aware Panoptic Segmentation	Jun 11, 2021	Image SegmentationPanoptic Segmentation	CodeCode Available	1
Vision Transformers with Hierarchical Attention	Jun 6, 2021	image-classificationImage Classification	CodeCode Available	1
Light Field Networks: Neural Scene Representations with Single-Evaluation Rendering	Jun 4, 2021	Meta-LearningScene Understanding	CodeCode Available	1
Lane Graph Estimation for Scene Understanding in Urban Driving	May 1, 2021	Autonomous DrivingAutonomous Vehicles	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