Scene Classification

Scene Classification is a task in which scenes from photographs are categorically classified. Unlike object classification, which focuses on classifying prominent objects in the foreground, Scene Classification uses the layout of objects within the scene, in addition to the ambient context, for classification.

Source: Scene classification with Convolutional Neural Networks

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 111–120 of 453 papers

Title	Date	Tasks	Status	Score
A Challenge to Build Neuro-Symbolic Video Agents	May 20, 2025	Scene ClassificationVideo Retrieval	CodeCode Available	5
All Grains, One Scheme (AGOS): Learning Multi-grain Instance Representation for Aerial Scene Classification	May 6, 2022	Aerial Scene ClassificationAll	CodeCode Available	5
A Variational Bayesian Approach to Learning Latent Variables for Acoustic Knowledge Transfer	Oct 16, 2021	Acoustic Scene ClassificationScene Classification	CodeCode Available	5
Parsing Natural Scenes and Natural Language with Recursive Neural Networks	Jun 1, 2011	General ClassificationScene Classification	CodeCode Available	5
Comparing Importance Sampling Based Methods for Mitigating the Effect of Class Imbalance	Feb 28, 2024	Scene Classification	CodeCode Available	5
A Remote Sensing Image Dataset for Cloud Removal	Jan 3, 2019	Change DetectionCloud Removal	CodeCode Available	5
Efficient Multi-Resolution Fusion for Remote Sensing Data with Label Uncertainty	Feb 7, 2024	Scene Classification	CodeCode Available	5
Equivariant Multi-View Networks	Apr 1, 2019	3D Shape Classification3D Shape Retrieval	CodeCode Available	5
HexaConv	Mar 6, 2018	Aerial Scene ClassificationScene Classification	CodeCode Available	5
All grains, one scheme (AGOS): Learning multigrain instance representation for aerial scene classification	Aug 25, 2022	Aerial Scene ClassificationAll	CodeCode Available	5

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All datasets UC Merced Land Use Dataset Places365-Standard

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	µ2Net+ (ViT-L/16)	Accuracy (%)	100	—	Unverified
2	AGOS	Accuracy (%)	99.88	—	Unverified
3	LSE-Net	Accuracy (%)	99.78	—	Unverified
4	ResNet50	Accuracy (%)	99.61	—	Unverified
5	MSMatch	Accuracy (%)	98.33	—	Unverified
6	MIDC-Net	Accuracy (%)	97.4	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	iSQRT-COV-Net (ResNet-50)	Top 1 Error	43.68	—	Unverified
2	WaveMix	Top 1 Error	43.55	—	Unverified