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 361–370 of 453 papers

Title	Date	Tasks	Status
Beyond Equal-Length Snippets: How Long is Sufficient to Recognize an Audio Scene?	Nov 2, 2018	General ClassificationScene Classification	—Unverified
BFO Meets HOG: Feature Extraction Based on Histograms of Oriented p.d.f. Gradients for Image Classification	Jun 1, 2013	ClassificationGeneral Classification	—Unverified
BigEarthNet: A Large-Scale Benchmark Archive For Remote Sensing Image Understanding	Feb 16, 2019	Multi-Label Image ClassificationScene Classification	—Unverified
BigEarthNet Dataset with A New Class-Nomenclature for Remote Sensing Image Understanding	Jan 17, 2020	Content-Based Image RetrievalImage Retrieval	—Unverified
BigEarthNet-MM: A Large Scale Multi-Modal Multi-Label Benchmark Archive for Remote Sensing Image Classification and Retrieval	May 17, 2021	image-classificationImage Classification	—Unverified
Binary Patterns Encoded Convolutional Neural Networks for Texture Recognition and Remote Sensing Scene Classification	Jun 5, 2017	Aerial Scene ClassificationGeneral Classification	—Unverified
Binaural Signal Representations for Joint Sound Event Detection and Acoustic Scene Classification	Sep 13, 2022	Acoustic Scene ClassificationEvent Detection	—Unverified
Blocks That Shout: Distinctive Parts for Scene Classification	Jun 1, 2013	ClassificationGeneral Classification	—Unverified
Capturing scattered discriminative information using a deep architecture in acoustic scene classification	Jul 9, 2020	Acoustic Scene ClassificationGeneral Classification	—Unverified
CartoMark: a benchmark dataset for map pattern recognition and 1 map content retrieval with machine intelligence	Dec 14, 2023	RetrievalScene Classification	—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