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 191–200 of 453 papers

Title	Date	Tasks	Status
EnTri: Ensemble Learning with Tri-level Representations for Explainable Scene Recognition	Jul 23, 2023	ClassificationEnsemble Learning	—Unverified
Enhancing Sound Texture in CNN-Based Acoustic Scene Classification	Jan 6, 2019	Acoustic Scene ClassificationClassification	—Unverified
Enhancing Social Relation Inference with Concise Interaction Graph and Discriminative Scene Representation	Jul 30, 2021	Contrastive Learningdomain classification	—Unverified
Capturing scattered discriminative information using a deep architecture in acoustic scene classification	Jul 9, 2020	Acoustic Scene ClassificationGeneral Classification	—Unverified
A Discriminative Representation of Convolutional Features for Indoor Scene Recognition	Jun 17, 2015	ObjectObject Recognition	—Unverified
Evaluating the Adversarial Robustness of a Foveated Texture Transform Module in a CNN	Oct 12, 2021	Adversarial RobustnessFoveation	—Unverified
Evaluation of the potential of Near Infrared Hyperspectral Imaging for monitoring the invasive brown marmorated stink bug	Jan 19, 2023	ManagementScene Classification	—Unverified
Exploiting Context for Robustness to Label Noise in Active Learning	Oct 18, 2020	Active LearningDocument Classification	—Unverified
Acoustic Scene Classification Based on a Large-margin Factorized CNN	Oct 14, 2019	Acoustic Scene ClassificationClassification	—Unverified
A Comparative Study of Deep Learning Loss Functions for Multi-Label Remote Sensing Image Classification	Sep 29, 2020	General Classificationimage-classification	—Unverified

Show:10 25 50

← PrevPage 20 of 46Next →

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