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 391–400 of 453 papers

Title	Date	Tasks	Status
Large Margin Discriminant Dimensionality Reduction in Prediction Space	Dec 1, 2016	Dimensionality ReductionGeneral Classification	—Unverified
Learning from Small Sample Sets by Combining Unsupervised Meta-Training with CNNs	Dec 1, 2016	Action RecognitionGeneral Classification	—Unverified
Object based Scene Representations using Fisher Scores of Local Subspace Projections	Dec 1, 2016	Scene Classification	—Unverified
ResFeats: Residual Network Based Features for Image Classification	Nov 21, 2016	ClassificationDimensionality Reduction	—Unverified
Adaptive Deep Pyramid Matching for Remote Sensing Scene Classification	Nov 11, 2016	ClassificationGeneral Classification	—Unverified
Change-point Detection Methods for Body-Worn Video	Oct 20, 2016	Change Point DetectionScene Classification	—Unverified
Regularized Optimal Transport and the Rot Mover's Distance	Oct 20, 2016	Scene Classification	—Unverified
Mapping Between fMRI Responses to Movies and their Natural Language Annotations	Oct 13, 2016	Scene ClassificationSentence	CodeCode Available
Places: An Image Database for Deep Scene Understanding	Oct 6, 2016	BIG-bench Machine LearningClassification	—Unverified
Knowledge Guided Disambiguation for Large-Scale Scene Classification with Multi-Resolution CNNs	Oct 4, 2016	General ClassificationScene Classification	CodeCode Available

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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