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 551–560 of 1723 papers

Title	Date	Tasks	Status	Score
Dilated Residual Networks	May 28, 2017	ClassificationGeneral Classification	CodeCode Available	5
A New Lightweight Hybrid Graph Convolutional Neural Network -- CNN Scheme for Scene Classification using Object Detection Inference	Jul 19, 2024	Autonomous Vehiclesobject-detection	CodeCode Available	5
NextStop: An Improved Tracker For Panoptic LIDAR Segmentation Data	Jan 8, 2025	Autonomous DrivingInstance Segmentation	CodeCode Available	5
Adapting Deep Network Features to Capture Psychological Representations	Aug 6, 2016	Object RecognitionScene Understanding	CodeCode Available	5
Non-central panorama indoor dataset	Jan 30, 2024	Scene Understanding	CodeCode Available	5
Neighbor-Vote: Improving Monocular 3D Object Detection through Neighbor Distance Voting	Jul 6, 2021	3D Object DetectionAutonomous Driving	CodeCode Available	5
Neural Radiance Field Codebooks	Jan 10, 2023	ObjectRepresentation Learning	CodeCode Available	5
Bidirectional Multi-scale Attention Networks for Semantic Segmentation of Oblique UAV Imagery	Feb 5, 2021	Earth ObservationScene Understanding	CodeCode Available	5
Multi-task Geometric Estimation of Depth and Surface Normal from Monocular 360° Images	Nov 4, 2024	Multi-Task LearningScene Understanding	CodeCode Available	5
Multi-task Planar Reconstruction with Feature Warping Guidance	Nov 25, 2023	3D ReconstructionInstance Segmentation	CodeCode Available	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