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 441–450 of 453 papers

Title	Date	Tasks	Status
Constrained Parametric Proposals and Pooling Methods for Semantic Segmentation in RGB-D Images	Dec 30, 2013	Scene ClassificationSegmentation	—Unverified
Mid-level Visual Element Discovery as Discriminative Mode Seeking	Dec 1, 2013	Scene Classification	—Unverified
Automatic Monitoring of Activities of Daily Living based on Real-life Acoustic Sensor Data: a preliminary study	Aug 1, 2013	Acoustic Scene ClassificationScene Classification	—Unverified
Understanding Indoor Scenes Using 3D Geometric Phrases	Jun 1, 2013	General ClassificationObject	—Unverified
BFO Meets HOG: Feature Extraction Based on Histograms of Oriented p.d.f. Gradients for Image Classification	Jun 1, 2013	ClassificationGeneral Classification	—Unverified
Blocks That Shout: Distinctive Parts for Scene Classification	Jun 1, 2013	ClassificationGeneral Classification	—Unverified
Perceptual Organization and Recognition of Indoor Scenes from RGB-D Images	Jun 1, 2013	Boundary DetectionContour Detection	—Unverified
Learning Class-to-Image Distance with Object Matchings	Jun 1, 2013	ClassificationGeneral Classification	—Unverified
Dynamic Scene Classification: Learning Motion Descriptors with Slow Features Analysis	Jun 1, 2013	ClassificationGeneral Classification	—Unverified
Sparse Output Coding for Large-Scale Visual Recognition	Jun 1, 2013	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