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 391–400 of 1723 papers

Title	Date	Tasks	Status	Hype
DIP: Unsupervised Dense In-Context Post-training of Visual Representations	Jun 23, 2025	GPUMeta-Learning	CodeCode Available	1
Bi-level Dynamic Learning for Jointly Multi-modality Image Fusion and Beyond	May 11, 2023	Scene Understanding	CodeCode Available	1
Point Cloud Pre-Training With Natural 3D Structures	Jan 1, 2022	3D Object Detectionobject-detection	CodeCode Available	1
PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding	Jul 21, 2020	Point Cloud Pre-trainingRepresentation Learning	CodeCode Available	1
Exploiting Edge-Oriented Reasoning for 3D Point-based Scene Graph Analysis	Mar 9, 2021	3d scene graph generationgraph construction	CodeCode Available	1
Digging Into Self-Supervised Monocular Depth Estimation	Jun 4, 2018	Camera Pose EstimationDepth Estimation	CodeCode Available	1
A2-FPN for Semantic Segmentation of Fine-Resolution Remotely Sensed Images	Feb 16, 2021	Decision MakingScene Understanding	CodeCode Available	1
Pola4All: survey of polarimetric applications and an open-source toolkit to analyze polarization	Dec 22, 2023	3D ReconstructionDepth Estimation	CodeCode Available	1
From General to Specific: Informative Scene Graph Generation via Balance Adjustment	Aug 30, 2021	BlockingGraph Generation	CodeCode Available	1
Estimating and Exploiting the Aleatoric Uncertainty in Surface Normal Estimation	Sep 20, 2021	DecoderPrediction	CodeCode Available	1

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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