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 381–390 of 453 papers

Title	Date	Tasks	Status	Hype
Cross-label Suppression: A Discriminative and Fast Dictionary Learning with Group Regularization	May 8, 2017	ClassificationComputational Efficiency	—Unverified	0
DeepCorrect: Correcting DNN models against Image Distortions	May 5, 2017	ClassificationGeneral Classification	CodeCode Available	0
Land Cover Classification via Multi-temporal Spatial Data by Recurrent Neural Networks	Apr 13, 2017	ClassificationEarth Observation	—Unverified	0
The 2017 DAVIS Challenge on Video Object Segmentation	Apr 3, 2017	ObjectScene Classification	—Unverified	0
Audio Scene Classification with Deep Recurrent Neural Networks	Mar 14, 2017	ClassificationGeneral Classification	—Unverified	0
Semi-supervised multi-label feature selection via label correlation analysis with l1-norm graph embedding	Mar 1, 2017	feature selectionGraph Embedding	CodeCode Available	0
Remote Sensing Image Scene Classification: Benchmark and State of the Art	Mar 1, 2017	ClassificationDiversity	CodeCode Available	1
Unsupervised Joint Mining of Deep Features and Image Labels for Large-scale Radiology Image Categorization and Scene Recognition	Jan 23, 2017	ClusteringGeneral Classification	—Unverified	0
Stage 4 validation of the Satellite Image Automatic Mapper lightweight computer program for Earth observation Level 2 product generation, Part 1 Theory	Jan 8, 2017	Earth ObservationGeneral Classification	—Unverified	0
Stage 4 validation of the Satellite Image Automatic Mapper lightweight computer program for Earth observation Level 2 product generation, Part 2 Validation	Jan 8, 2017	Earth ObservationGeneral Classification	—Unverified	0

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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