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 31–40 of 453 papers

Title	Date	Tasks	Status	Hype
Decoupling Common and Unique Representations for Multimodal Self-supervised Learning	Sep 11, 2023	Scene ClassificationSelf-Supervised Learning	CodeCode Available	1
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
CITISEN: A Deep Learning-Based Speech Signal-Processing Mobile Application	Aug 21, 2020	Acoustic Scene ClassificationData Augmentation	CodeCode Available	1
Backdoor Attacks for Remote Sensing Data with Wavelet Transform	Nov 15, 2022	Backdoor Attackbackdoor defense	CodeCode Available	1
CMID: A Unified Self-Supervised Learning Framework for Remote Sensing Image Understanding	Apr 19, 2023	Change DetectionContrastive Learning	CodeCode Available	1
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
BYOL-S: Learning Self-supervised Speech Representations by Bootstrapping	Jun 24, 2022	Scene ClassificationSelf-Supervised Learning	CodeCode Available	1
CD-COCO: A Versatile Complex Distorted COCO Database for Scene-Context-Aware Computer Vision	Nov 12, 2023	object-detectionObject Detection	CodeCode Available	1
Convolutional Neural Networks Based Remote Sensing Scene Classification under Clear and Cloudy Environments	Dec 30, 2021	ClassificationScene Classification	CodeCode Available	1
ApproxDet: Content and Contention-Aware Approximate Object Detection for Mobiles	Oct 21, 2020	Objectobject-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