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 61–70 of 453 papers

Title	Date	Tasks	Status	Hype
Emergent Properties of Foveated Perceptual Systems	Jun 14, 2020	FoveationScene Classification	CodeCode Available	1
Multi-Temporal Scene Classification and Scene Change Detection with Correlation based Fusion	Jun 3, 2020	Change DetectionGeneral Classification	CodeCode Available	1
Vision-based Fight Detection from Surveillance Cameras	Feb 11, 2020	Action RecognitionScene Classification	CodeCode Available	1
Emotion and Theme Recognition in Music with Frequency-Aware RF-Regularized CNNs	Oct 28, 2019	Acoustic Scene ClassificationScene Classification	CodeCode Available	1
Receptive-field-regularized CNN variants for acoustic scene classification	Sep 5, 2019	Acoustic Scene ClassificationClassification	CodeCode Available	1
The Receptive Field as a Regularizer in Deep Convolutional Neural Networks for Acoustic Scene Classification	Jul 3, 2019	Acoustic Scene ClassificationGeneral Classification	CodeCode Available	1
Deep-Learning-Based Aerial Image Classification for Emergency Response Applications Using Unmanned Aerial Vehicles	Jun 20, 2019	Aerial Scene ClassificationGeneral Classification	CodeCode Available	1
SEN12MS -- A Curated Dataset of Georeferenced Multi-Spectral Sentinel-1/2 Imagery for Deep Learning and Data Fusion	Jun 18, 2019	Cloud ComputingDiversity	CodeCode Available	1
Deep CNNs Meet Global Covariance Pooling: Better Representation and Generalization	Apr 15, 2019	Fine-Grained Visual RecognitionGeneral Classification	CodeCode Available	1
Remote Sensing Image Scene Classification: Benchmark and State of the Art	Mar 1, 2017	ClassificationDiversity	CodeCode Available	1

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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