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

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Showing 441–450 of 453 papers

Title	Date	Tasks	Status
Multi-Modal RGB-D Scene Recognition Across Domains	Mar 26, 2021	Scene ClassificationScene Recognition	CodeCode Available
Acoustic scene classification using auditory datasets	Dec 26, 2021	Acoustic Scene ClassificationClassification	CodeCode Available
Understanding and Visualizing Deep Visual Saliency Models	Mar 6, 2019	Object RecognitionSaliency Prediction	CodeCode Available
Domain Information Control at Inference Time for Acoustic Scene Classification	Jun 13, 2023	Acoustic Scene ClassificationDomain Generalization	CodeCode Available
Deliberative Explanations: visualizing network insecurities	Dec 1, 2019	AttributeObject Recognition	CodeCode Available
Mapping Between fMRI Responses to Movies and their Natural Language Annotations	Oct 13, 2016	Scene ClassificationSentence	CodeCode Available
Relay Backpropagation for Effective Learning of Deep Convolutional Neural Networks	Dec 18, 2015	General ClassificationLong-tail Learning	CodeCode Available
Acoustic scene analysis with multi-head attention networks	Sep 16, 2019	Acoustic Scene ClassificationGeneral Classification	CodeCode Available
Comparing Importance Sampling Based Methods for Mitigating the Effect of Class Imbalance	Feb 28, 2024	Scene Classification	CodeCode Available
CochlScene: Acquisition of acoustic scene data using crowdsourcing	Nov 4, 2022	Acoustic Scene ClassificationScene Classification	CodeCode Available

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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