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 1131–1140 of 1723 papers

Title	Date	Tasks	Status
Visual Semantic Parsing: From Images to Abstract Meaning Representation	Oct 26, 2022	Abstract Meaning RepresentationScene Understanding	—Unverified
Number-Adaptive Prototype Learning for 3D Point Cloud Semantic Segmentation	Oct 18, 2022	3D Semantic SegmentationScene Understanding	—Unverified
Novel 3D Scene Understanding Applications From Recurrence in a Single Image	Oct 14, 2022	Scene UnderstandingTranslation	—Unverified
Segmentation-guided Domain Adaptation for Efficient Depth Completion	Oct 14, 2022	Depth CompletionDomain Adaptation	—Unverified
EarthNets: Empowering AI in Earth Observation	Oct 10, 2022	Deep LearningEarth Observation	—Unverified
Uncertainty-aware LiDAR Panoptic Segmentation	Oct 10, 2022	Autonomous DrivingPanoptic Segmentation	CodeCode Available
Flow-based GAN for 3D Point Cloud Generation from a Single Image	Oct 8, 2022	Point Cloud GenerationScene Understanding	CodeCode Available
Feature-Realistic Neural Fusion for Real-Time, Open Set Scene Understanding	Oct 6, 2022	Scene Understanding	—Unverified
GaIA: Graphical Information Gain based Attention Network for Weakly Supervised Point Cloud Semantic Segmentation	Oct 2, 2022	Scene UnderstandingSegmentation	CodeCode Available
A Survey on Knowledge Graph-based Methods for Automated Driving	Sep 30, 2022	Knowledge Graph EmbeddingsKnowledge Graphs	—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