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 1251–1260 of 1723 papers

Title	Date	Tasks	Status	Hype
Bridging Scene Understanding and Task Execution with Flexible Simulation Environments	Nov 20, 2020	Graph Generationreinforcement-learning	—Unverified	0
RELLIS-3D Dataset: Data, Benchmarks and Analysis	Nov 17, 2020	3D Semantic SegmentationAutonomous Navigation	CodeCode Available	1
SeasonDepth: Cross-Season Monocular Depth Prediction Dataset and Benchmark under Multiple Environments	Nov 9, 2020	Autonomous DrivingDepth Estimation	CodeCode Available	1
FlowCaps: Optical Flow Estimation with Capsule Networks For Action Recognition	Nov 8, 2020	Action RecognitionOptical Flow Estimation	—Unverified	0
Towards Efficient Scene Understanding via Squeeze Reasoning	Nov 6, 2020	Instance Segmentationobject-detection	CodeCode Available	1
Hypersim: A Photorealistic Synthetic Dataset for Holistic Indoor Scene Understanding	Nov 4, 2020	Multi-Task LearningScene Understanding	CodeCode Available	2
S3-Net: A Fast and Lightweight Video Scene Understanding Network by Single-shot Segmentation	Nov 4, 2020	Autonomous DrivingEdge-computing	—Unverified	0
Learning Regional Purity for Instance Segmentation on 3D Point Clouds	Nov 3, 2020	3D Instance Segmentation3D Semantic Segmentation	CodeCode Available	0
Highway Driving Dataset for Semantic Video Segmentation	Nov 2, 2020	Autonomous DrivingImage Segmentation	—Unverified	0
Real-time Semantic Segmentation with Context Aggregation Network	Nov 2, 2020	Real-Time Semantic SegmentationScene 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