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

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Showing 401–410 of 453 papers

Title	Date	Tasks	Status
Deep Learning for Scene Classification: A Survey	Jan 26, 2021	ClassificationDeep Learning	—Unverified
Deep Neural Decision Forest for Acoustic Scene Classification	Mar 7, 2022	Acoustic Scene ClassificationClassification	—Unverified
Deep Robust Single Image Depth Estimation Neural Network Using Scene Understanding	Jun 7, 2019	Depth EstimationGeneral Classification	—Unverified
Deep Scene Image Classification With the MFAFVNet	Oct 1, 2017	ClassificationGeneral Classification	—Unverified
Deep Space Separable Distillation for Lightweight Acoustic Scene Classification	May 6, 2024	Acoustic Scene ClassificationClassification	—Unverified
Deep Within-Class Covariance Analysis for Robust Audio Representation Learning	Nov 10, 2017	Acoustic Scene ClassificationClassification	—Unverified
Deep Within-Class Covariance Analysis for Robust Deep Audio Representation Learning	Oct 22, 2018	Acoustic Scene ClassificationClassification	—Unverified
DEEVA: A Deep Learning and IoT Based Computer Vision System to Address Safety and Security of Production Sites in Energy Industry	Mar 2, 2020	Decision Makingobject-detection	—Unverified
Dense v.s. Sparse: A Comparative Study of Sampling Analysis in Scene Classification of High-Resolution Remote Sensing Imagery	Feb 4, 2015	ClassificationGeneral Classification	—Unverified
Deriving Visual Semantics from Spatial Context: An Adaptation of LSA and Word2Vec to generate Object and Scene Embeddings from Images	Sep 20, 2020	ObjectScene 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