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 281–290 of 453 papers

Title	Date	Tasks	Status
The 2017 DAVIS Challenge on Video Object Segmentation	Apr 3, 2017	ObjectScene Classification	—Unverified
TOV: The Original Vision Model for Optical Remote Sensing Image Understanding via Self-supervised Learning	Apr 10, 2022	General Knowledgeobject-detection	—Unverified
Towards Robust Domain Generalization in 2D Neural Audio Processing	Sep 29, 2021	Acoustic Scene ClassificationDomain Generalization	—Unverified
Towards Scalable and Generalizable Earth Observation Data Mining via Foundation Model Composition	Jun 25, 2025	Earth ObservationKnowledge Distillation	—Unverified
Traffic scene recognition based on deep cnn and vlad spatial pyramids	Jul 24, 2017	Region ProposalScene Classification	—Unverified
Joint Spatial and Layer Attention for Convolutional Networks	Jan 16, 2019	Camera LocalizationClassification	—Unverified
Understanding Indoor Scenes Using 3D Geometric Phrases	Jun 1, 2013	General ClassificationObject	—Unverified
Understand Scene Categories by Objects: A Semantic Regularized Scene Classifier Using Convolutional Neural Networks	Sep 22, 2015	ClassificationDiversity	—Unverified
Unlocking the capabilities of explainable fewshot learning in remote sensing	Oct 12, 2023	Scene Classification	—Unverified
Unsupervised Domain Adaptation for Acoustic Scene Classification Using Band-Wise Statistics Matching	Apr 30, 2020	Acoustic Scene ClassificationDomain Adaptation	—Unverified

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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