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 181–190 of 453 papers

Title	Date	Tasks	Status
A Continual Development Methodology for Large-scale Multitask Dynamic ML Systems	Sep 15, 2022	Domain GeneralizationFine-Grained Image Classification	CodeCode Available
Binaural Signal Representations for Joint Sound Event Detection and Acoustic Scene Classification	Sep 13, 2022	Acoustic Scene ClassificationEvent Detection	—Unverified
All grains, one scheme (AGOS): Learning multigrain instance representation for aerial scene classification	Aug 25, 2022	Aerial Scene ClassificationAll	CodeCode Available
Minimizing the Effect of Noise and Limited Dataset Size in Image Classification Using Depth Estimation as an Auxiliary Task with Deep Multitask Learning	Aug 22, 2022	Depth Estimationimage-classification	—Unverified
Low-complexity CNNs for Acoustic Scene Classification	Aug 2, 2022	Acoustic Scene ClassificationClassification	—Unverified
Low-complexity CNNs for Acoustic Scene Classification	Jul 23, 2022	Acoustic Scene ClassificationClassification	—Unverified
Scene Recognition with Objectness, Attribute and Category Learning	Jul 20, 2022	AttributeScene Classification	—Unverified
SeasoNet: A Seasonal Scene Classification, segmentation and Retrieval dataset for satellite Imagery over Germany	Jul 19, 2022	Image RetrievalRetrieval	—Unverified
L_2BN: Enhancing Batch Normalization by Equalizing the L_2 Norms of Features	Jul 6, 2022	Acoustic Scene Classificationimage-classification	—Unverified
Crime scene classification from skeletal trajectory analysis in surveillance settings	Jul 4, 2022	ClassificationCrime Prediction	—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