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 51–60 of 453 papers

Title	Date	Tasks	Status	Hype
A Two-Stage Approach to Device-Robust Acoustic Scene Classification	Nov 3, 2020	Acoustic Scene ClassificationClassification	CodeCode Available	1
APLA: A Simple Adaptation Method for Vision Transformers	Mar 14, 2025	ClassificationGPU	CodeCode Available	1
APPLeNet: Visual Attention Parameterized Prompt Learning for Few-Shot Remote Sensing Image Generalization using CLIP	Apr 12, 2023	Domain GeneralizationPrompt Learning	CodeCode Available	1
ApproxDet: Content and Contention-Aware Approximate Object Detection for Mobiles	Oct 21, 2020	Objectobject-detection	CodeCode Available	1
Backdoor Attacks for Remote Sensing Data with Wavelet Transform	Nov 15, 2022	Backdoor Attackbackdoor defense	CodeCode Available	1
AID: A Benchmark Dataset for Performance Evaluation of Aerial Scene Classification	Aug 18, 2016	Aerial Scene ClassificationClassification	CodeCode Available	1
CITISEN: A Deep Learning-Based Speech Signal-Processing Mobile Application	Aug 21, 2020	Acoustic Scene ClassificationData Augmentation	CodeCode Available	1
Deep-Learning-Based Aerial Image Classification for Emergency Response Applications Using Unmanned Aerial Vehicles	Jun 20, 2019	Aerial Scene ClassificationGeneral Classification	CodeCode Available	1
Audio Event-Relational Graph Representation Learning for Acoustic Scene Classification	Oct 5, 2023	Acoustic Scene ClassificationGraph Representation Learning	CodeCode Available	1
Geographical Knowledge-driven Representation Learning for Remote Sensing Images	Jul 12, 2021	object-detectionObject Detection	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