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 441–450 of 453 papers

Title	Date	Tasks	Status
GeoRSMLLM: A Multimodal Large Language Model for Vision-Language Tasks in Geoscience and Remote Sensing	Mar 16, 2025	Change DetectionImage Captioning	—Unverified
Harvesting Discriminative Meta Objects with Deep CNN Features for Scene Classification	Oct 6, 2015	ClusteringGeneral Classification	—Unverified
Health Monitoring of Industrial machines using Scene-Aware Threshold Selection	Nov 21, 2021	Scene Classification	—Unverified
Heterogeneous Multi-task Metric Learning across Multiple Domains	Apr 8, 2019	Metric LearningScene Classification	—Unverified
HexCNN: A Framework for Native Hexagonal Convolutional Neural Networks	Jan 25, 2021	Aerial Scene ClassificationScene Classification	—Unverified
Hierarchical Feature Hashing for Fast Dimensionality Reduction	Jun 1, 2014	ClassificationDimensionality Reduction	—Unverified
Hierarchical learning for DNN-based acoustic scene classification	Jul 13, 2016	Acoustic Scene ClassificationClassification	—Unverified
Hierarchical Metric Learning for Optical Remote Sensing Scene Categorization	Aug 4, 2017	ClusteringMetric Learning	—Unverified
Hierarchy of Alternating Specialists for Scene Recognition	Sep 1, 2018	Scene ClassificationScene Recognition	—Unverified
High Order Structure Descriptors for Scene Images	Oct 15, 2014	Scene ClassificationVocal Bursts Intensity 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