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

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Showing 571–580 of 1723 papers

Title	Date	Tasks	Status	Score
An efficient solution for semantic segmentation: ShuffleNet V2 with atrous separable convolutions	Feb 20, 2019	Autonomous DrivingScene Understanding	CodeCode Available	5
DenseASPP for Semantic Segmentation in Street Scenes	Jun 1, 2018	Autonomous DrivingImage Segmentation	CodeCode Available	5
Deep Video Deblurring for Hand-Held Cameras	Jul 1, 2017	DeblurringImage Deblurring	CodeCode Available	5
Deep Video Deblurring	Nov 25, 2016	DeblurringImage Deblurring	CodeCode Available	5
Deep Surface Normal Estimation with Hierarchical RGB-D Fusion	Apr 6, 2019	Scene UnderstandingSurface Normal Estimation	CodeCode Available	5
A Critical Assessment of Visual Sound Source Localization Models Including Negative Audio	Oct 1, 2024	Scene UnderstandingSound Source Localization	CodeCode Available	5
Multi-task Planar Reconstruction with Feature Warping Guidance	Nov 25, 2023	3D ReconstructionInstance Segmentation	CodeCode Available	5
Multi-Resolution Multi-Modal Sensor Fusion For Remote Sensing Data With Label Uncertainty	May 2, 2018	Scene UnderstandingSensor Fusion	CodeCode Available	5
Benchmarking Feature Upsampling Methods for Vision Foundation Models using Interactive Segmentation	May 4, 2025	BenchmarkingFeature Upsampling	CodeCode Available	5
ShelfNet for Fast Semantic Segmentation	Nov 27, 2018	Autonomous DrivingDecoder	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