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 61–70 of 453 papers

Title	Date	Tasks	Status	Hype
Universal Adversarial Defense in Remote Sensing Based on Pre-trained Denoising Diffusion Models	Jul 31, 2023	Adversarial DefenseAdversarial Purification	CodeCode Available	1
Universal Adversarial Examples in Remote Sensing: Methodology and Benchmark	Feb 14, 2022	Adversarial AttackScene Classification	CodeCode Available	1
Decoupling Common and Unique Representations for Multimodal Self-supervised Learning	Sep 11, 2023	Scene ClassificationSelf-Supervised Learning	CodeCode Available	1
On Creating Benchmark Dataset for Aerial Image Interpretation: Reviews, Guidances and Million-AID	Jun 22, 2020	General ClassificationImage Classification	CodeCode Available	1
A system of vision sensor based deep neural networks for complex driving scene analysis in support of crash risk assessment and prevention	Jun 18, 2021	Autonomous VehiclesScene Classification	CodeCode Available	1
MSMatch: Semi-Supervised Multispectral Scene Classification with Few Labels	Mar 18, 2021	ClassificationGeneral Classification	CodeCode Available	1
CITISEN: A Deep Learning-Based Speech Signal-Processing Mobile Application	Aug 21, 2020	Acoustic Scene ClassificationData Augmentation	CodeCode Available	1
CMID: A Unified Self-Supervised Learning Framework for Remote Sensing Image Understanding	Apr 19, 2023	Change DetectionContrastive Learning	CodeCode Available	1
Convolutional Neural Networks Based Remote Sensing Scene Classification under Clear and Cloudy Environments	Dec 30, 2021	ClassificationScene Classification	CodeCode Available	1
WaveMix-Lite: A Resource-efficient Neural Network for Image Analysis	Oct 13, 2022	Efficient Neural NetworkGPU	CodeCode Available	1

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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