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 41–50 of 453 papers

Title	Date	Tasks	Status	Hype
Decoupling Common and Unique Representations for Multimodal Self-supervised Learning	Sep 11, 2023	Scene ClassificationSelf-Supervised Learning	CodeCode Available	1
Deep CNNs Meet Global Covariance Pooling: Better Representation and Generalization	Apr 15, 2019	Fine-Grained Visual RecognitionGeneral Classification	CodeCode Available	1
Description on IEEE ICME 2024 Grand Challenge: Semi-supervised Acoustic Scene Classification under Domain Shift	Feb 5, 2024	Acoustic Scene ClassificationScene Classification	CodeCode Available	1
Device-Robust Acoustic Scene Classification Based on Two-Stage Categorization and Data Augmentation	Jul 16, 2020	Acoustic Scene ClassificationData Augmentation	CodeCode Available	1
On Creating Benchmark Dataset for Aerial Image Interpretation: Reviews, Guidances and Million-AID	Jun 22, 2020	General ClassificationImage Classification	CodeCode Available	1
Dual-Branch Network for Portrait Image Quality Assessment	May 14, 2024	Face Image Quality AssessmentImage Quality Assessment	CodeCode Available	1
A Two-Stage Approach to Device-Robust Acoustic Scene Classification	Nov 3, 2020	Acoustic Scene ClassificationClassification	CodeCode Available	1
A system of vision sensor based deep neural networks for complex driving scene analysis in support of crash risk assessment and prevention	Jun 18, 2021	Autonomous VehiclesScene Classification	CodeCode Available	1
Audio Event-Relational Graph Representation Learning for Acoustic Scene Classification	Oct 5, 2023	Acoustic Scene ClassificationGraph Representation Learning	CodeCode Available	1
APLA: A Simple Adaptation Method for Vision Transformers	Mar 14, 2025	ClassificationGPU	CodeCode Available	1

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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