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 231–240 of 1723 papers

Title	Date	Tasks	Status	Hype	Score
Arabic Scene Text Recognition in the Deep Learning Era: Analysis on A Novel Dataset	Jul 27, 2021	Scene Text RecognitionScene Understanding	CodeCode Available	1	5
FloodNet: A High Resolution Aerial Imagery Dataset for Post Flood Scene Understanding	Dec 5, 2020	image-classificationImage Classification	CodeCode Available	1	5
IDA-3D: Instance-Depth-Aware 3D Object Detection From Stereo Vision for Autonomous Driving	Jun 1, 2020	3D Object DetectionAutonomous Driving	CodeCode Available	1	5
Campus3D: A Photogrammetry Point Cloud Benchmark for Hierarchical Understanding of Outdoor Scene	Aug 11, 2020	Instance SegmentationPoint Cloud Segmentation	CodeCode Available	1	5
FPS-Net: A Convolutional Fusion Network for Large-Scale LiDAR Point Cloud Segmentation	Mar 1, 2021	3D Semantic SegmentationDecoder	CodeCode Available	1	5
FreDSNet: Joint Monocular Depth and Semantic Segmentation with Fast Fourier Convolutions	Oct 4, 2022	Depth EstimationMonocular Depth Estimation	CodeCode Available	1	5
IBISCape: A Simulated Benchmark for multi-modal SLAM Systems Evaluation in Large-scale Dynamic Environments	Jun 27, 2022	Autonomous VehiclesScene Segmentation	CodeCode Available	1	5
From General to Specific: Informative Scene Graph Generation via Balance Adjustment	Aug 30, 2021	BlockingGraph Generation	CodeCode Available	1	5
Improving Visual Recognition with Hyperbolical Visual Hierarchy Mapping	Apr 1, 2024	image-classificationImage Classification	CodeCode Available	1	5
Instance-wise Occlusion and Depth Orders in Natural Scenes	Nov 29, 2021	Depth EstimationDepth Prediction	CodeCode Available	1	5

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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