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 431–440 of 453 papers

Title	Date	Tasks	Status
Acoustic Scene Classification	Nov 13, 2014	Acoustic Scene ClassificationClassification	—Unverified
High Order Structure Descriptors for Scene Images	Oct 15, 2014	Scene ClassificationVocal Bursts Intensity Prediction	—Unverified
Learning Important Spatial Pooling Regions for Scene Classification	Jun 1, 2014	ClassificationGeneral Classification	—Unverified
Orientational Pyramid Matching for Recognizing Indoor Scenes	Jun 1, 2014	FormGeneral Classification	—Unverified
Learning Receptive Fields for Pooling from Tensors of Feature Response	Jun 1, 2014	ClassificationGeneral Classification	—Unverified
Hierarchical Feature Hashing for Fast Dimensionality Reduction	Jun 1, 2014	ClassificationDimensionality Reduction	—Unverified
Scalable Multitask Representation Learning for Scene Classification	Jun 1, 2014	ClassificationGeneral Classification	—Unverified
What are You Talking About? Text-to-Image Coreference	Jun 1, 2014	coreference-resolutionCoreference Resolution	—Unverified
Detection Bank: An Object Detection Based Video Representation for Multimedia Event Recognition	May 28, 2014	Event DetectionObject	—Unverified
ConceptVision: A Flexible Scene Classification Framework	Jan 3, 2014	ClassificationGeneral 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