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 351–360 of 453 papers

Title	Date	Tasks	Status
Deep Discriminative Model for Video Classification	Jul 22, 2018	Action RecognitionClassification	—Unverified
In pixels we trust: From Pixel Labeling to Object Localization and Scene Categorization	Jul 19, 2018	object-detectionObject Detection	—Unverified
Satellite Image Scene Classification via ConvNet with Context Aggregation	Jul 12, 2018	ClassificationScene Classification	—Unverified
A punishment voting algorithm based on super categories construction for acoustic scene classification	Jul 11, 2018	Acoustic Scene ClassificationClustering	—Unverified
Towards automatic initialization of registration algorithms using simulated endoscopy images	Jun 28, 2018	AnatomyScene Classification	CodeCode Available
A Simple Fusion of Deep and Shallow Learning for Acoustic Scene Classification	Jun 19, 2018	Acoustic Scene ClassificationClassification	CodeCode Available
Convex Class Model on Symmetric Positive Definite Manifolds	Jun 14, 2018	ClassificationGeneral Classification	—Unverified
Sample Dropout for Audio Scene Classification Using Multi-Scale Dense Connected Convolutional Neural Network	Jun 12, 2018	Acoustic Scene ClassificationClassification	—Unverified
Recent advances and opportunities in scene classification of aerial images with deep models	Jun 4, 2018	ClassificationDiversity	—Unverified
AID++: An Updated Version of AID on Scene Classification	Jun 3, 2018	Aerial Scene ClassificationClassification	—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