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 161–170 of 453 papers

Title	Date	Tasks	Status
ConceptVision: A Flexible Scene Classification Framework	Jan 3, 2014	ClassificationGeneral Classification	—Unverified
A high-resolution canopy height model of the Earth	Apr 13, 2022	Decision MakingProbabilistic Deep Learning	—Unverified
Acoustic Scene Classification using Audio Tagging	Apr 19, 2020	Acoustic Scene ClassificationAudio Tagging	—Unverified
Compressing audio CNNs with graph centrality based filter pruning	May 5, 2023	Acoustic Scene ClassificationAudio Classification	—Unverified
Artistic Object Recognition by Unsupervised Style Adaptation	Dec 28, 2018	Domain AdaptationObject	—Unverified
Complex Scene Classification of PolSAR Imagery based on a Self-paced Learning Approach	Mar 18, 2019	General Classificationimage-classification	—Unverified
A Hierarchical Approach to Remote Sensing Scene Classification	Mar 29, 2021	ClassificationGeneral Classification	—Unverified
Creating Ensembles of Classifiers through UMDA for Aerial Scene Classification	Mar 20, 2023	Aerial Scene ClassificationClassification	—Unverified
Collaborative Layer-wise Discriminative Learning in Deep Neural Networks	Jul 19, 2016	ClassificationGeneral Classification	—Unverified
A punishment voting algorithm based on super categories construction for acoustic scene classification	Jul 11, 2018	Acoustic Scene ClassificationClustering	—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