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 111–120 of 453 papers

Title	Date	Tasks	Status	Hype
Enhanced Multi-level Features for Very High Resolution Remote Sensing Scene Classification	May 1, 2023	ClassificationRobust classification	—Unverified	0
WATT-EffNet: A Lightweight and Accurate Model for Classifying Aerial Disaster Images	Apr 21, 2023	ClassificationComputational Efficiency	CodeCode Available	0
CMID: A Unified Self-Supervised Learning Framework for Remote Sensing Image Understanding	Apr 19, 2023	Change DetectionContrastive Learning	CodeCode Available	1
On the Opportunities and Challenges of Foundation Models for Geospatial Artificial Intelligence	Apr 13, 2023	Few-Shot LearningScene Classification	—Unverified	0
APPLeNet: Visual Attention Parameterized Prompt Learning for Few-Shot Remote Sensing Image Generalization using CLIP	Apr 12, 2023	Domain GeneralizationPrompt Learning	CodeCode Available	1
Efficient CNNs via Passive Filter Pruning	Apr 5, 2023	Computational Efficiencyimage-classification	—Unverified	0
Nearest Neighbor Based Out-of-Distribution Detection in Remote Sensing Scene Classification	Mar 29, 2023	Classificationimage-classification	—Unverified	0
Blind Image Quality Assessment via Vision-Language Correspondence: A Multitask Learning Perspective	Mar 27, 2023	Image Quality AssessmentNo-Reference Image Quality Assessment	CodeCode Available	2
Creating Ensembles of Classifiers through UMDA for Aerial Scene Classification	Mar 20, 2023	Aerial Scene ClassificationClassification	—Unverified	0
Incremental Learning of Acoustic Scenes and Sound Events	Feb 28, 2023	Acoustic Scene ClassificationAudio Tagging	—Unverified	0

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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