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 101–110 of 453 papers

Title	Date	Tasks	Status	Score
Centroid Based Concept Learning for RGB-D Indoor Scene Classification	Nov 1, 2019	ClassificationClustering	CodeCode Available	5
A New Lightweight Hybrid Graph Convolutional Neural Network -- CNN Scheme for Scene Classification using Object Detection Inference	Jul 19, 2024	Autonomous Vehiclesobject-detection	CodeCode Available	5
Equivariant Multi-View Networks	Apr 1, 2019	3D Shape Classification3D Shape Retrieval	CodeCode Available	5
FrogDogNet: Fourier frequency Retained visual prompt Output Guidance for Domain Generalization of CLIP in Remote Sensing	Apr 23, 2025	Domain GeneralizationPrompt Learning	CodeCode Available	5
A multiple-instance densely-connected ConvNet for aerial scene classification	Mar 3, 2020	Aerial Scene ClassificationClassification	CodeCode Available	5
Efficient Similarity-based Passive Filter Pruning for Compressing CNNs	Oct 27, 2022	Acoustic Scene ClassificationScene Classification	CodeCode Available	5
Efficient Multi-Resolution Fusion for Remote Sensing Data with Label Uncertainty	Feb 7, 2024	Scene Classification	CodeCode Available	5
Classifying Variable-Length Audio Files with All-Convolutional Networks and Masked Global Pooling	Jul 11, 2016	Acoustic Scene ClassificationAll	CodeCode Available	5
A multi-device dataset for urban acoustic scene classification	Jul 25, 2018	Acoustic Scene ClassificationClassification	CodeCode Available	5
A Challenge to Build Neuro-Symbolic Video Agents	May 20, 2025	Scene ClassificationVideo Retrieval	CodeCode Available	5

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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