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 41–50 of 453 papers

Title	Date	Tasks	Status	Hype	Score
A system of vision sensor based deep neural networks for complex driving scene analysis in support of crash risk assessment and prevention	Jun 18, 2021	Autonomous VehiclesScene Classification	CodeCode Available	1	5
Description on IEEE ICME 2024 Grand Challenge: Semi-supervised Acoustic Scene Classification under Domain Shift	Feb 5, 2024	Acoustic Scene ClassificationScene Classification	CodeCode Available	1	5
Dual-Branch Network for Portrait Image Quality Assessment	May 14, 2024	Face Image Quality AssessmentImage Quality Assessment	CodeCode Available	1	5
CITISEN: A Deep Learning-Based Speech Signal-Processing Mobile Application	Aug 21, 2020	Acoustic Scene ClassificationData Augmentation	CodeCode Available	1	5
APLA: A Simple Adaptation Method for Vision Transformers	Mar 14, 2025	ClassificationGPU	CodeCode Available	1	5
CD-COCO: A Versatile Complex Distorted COCO Database for Scene-Context-Aware Computer Vision	Nov 12, 2023	object-detectionObject Detection	CodeCode Available	1	5
Convolutional Neural Networks Based Remote Sensing Scene Classification under Clear and Cloudy Environments	Dec 30, 2021	ClassificationScene Classification	CodeCode Available	1	5
Deep CNNs Meet Global Covariance Pooling: Better Representation and Generalization	Apr 15, 2019	Fine-Grained Visual RecognitionGeneral Classification	CodeCode Available	1	5
Deep-Learning-Based Aerial Image Classification for Emergency Response Applications Using Unmanned Aerial Vehicles	Jun 20, 2019	Aerial Scene ClassificationGeneral Classification	CodeCode Available	1	5
APPLeNet: Visual Attention Parameterized Prompt Learning for Few-Shot Remote Sensing Image Generalization using CLIP	Apr 12, 2023	Domain GeneralizationPrompt Learning	CodeCode Available	1	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