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 151–160 of 453 papers

Title	Date	Tasks	Status	Score
Credible Remote Sensing Scene Classification Using Evidential Fusion on Aerial-Ground Dual-view Images	Jan 2, 2023	Decision MakingScene Classification	CodeCode Available	5
Creating a Good Teacher for Knowledge Distillation in Acoustic Scene Classification	Mar 14, 2025	Acoustic Scene ClassificationKnowledge Distillation	—Unverified	0
Convolution Neural Network Architecture Learning for Remote Sensing Scene Classification	Jan 27, 2020	ClassificationGeneral Classification	—Unverified	0
A Squeeze-and-Excitation and Transformer based Cross-task System for Environmental Sound Recognition	Mar 16, 2022	Acoustic Scene ClassificationData Augmentation	—Unverified	0
Convex Class Model on Symmetric Positive Definite Manifolds	Jun 14, 2018	ClassificationGeneral Classification	—Unverified	0
A Spatial Layout and Scale Invariant Feature Representation for Indoor Scene Classification	Jun 18, 2015	General ClassificationScene Classification	—Unverified	0
A Hybrid Approach with Multi-channel I-Vectors and Convolutional Neural Networks for Acoustic Scene Classification	Jun 20, 2017	Acoustic Scene ClassificationGeneral Classification	—Unverified	0
Contextual Sense Making by Fusing Scene Classification, Detections, and Events in Full Motion Video	Jan 16, 2020	Event DetectionGeneral Classification	—Unverified	0
Constrained Parametric Proposals and Pooling Methods for Semantic Segmentation in RGB-D Images	Dec 30, 2013	Scene ClassificationSegmentation	—Unverified	0
ASK: Adaptively Selecting Key Local Features for RGB-D Scene Recognition	Oct 14, 2021	feature selectionScene Classification	—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