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 331–340 of 453 papers

Title	Date	Tasks	Status
AiRound and CV-BrCT: Novel Multi-View Datasets for Scene Classification	Aug 3, 2020	General Classificationimage-classification	—Unverified
AI Security for Geoscience and Remote Sensing: Challenges and Future Trends	Dec 19, 2022	Adversarial AttackBackdoor Attack	—Unverified
A Label Propagation Strategy for CutMix in Multi-Label Remote Sensing Image Classification	May 22, 2024	Data Augmentationimage-classification	—Unverified
A Lightweight ReLU-Based Feature Fusion for Aerial Scene Classification	Jun 15, 2021	Aerial Scene ClassificationClassification	—Unverified
A Lottery Ticket Hypothesis Framework for Low-Complexity Device-Robust Neural Acoustic Scene Classification	Jul 3, 2021	Acoustic Scene ClassificationData Augmentation	—Unverified
A Multi-Stage Duplex Fusion ConvNet for Aerial Scene Classification	Mar 29, 2022	Aerial Scene ClassificationScene Classification	—Unverified
An Acoustic Segment Model Based Segment Unit Selection Approach to Acoustic Scene Classification with Partial Utterances	Jul 31, 2020	Acoustic Scene ClassificationClassification	—Unverified
An Analysis of State-of-the-art Activation Functions For Supervised Deep Neural Network	Apr 5, 2021	Acoustic Scene ClassificationClassification	—Unverified
An ensemble learning method for scene classification based on Hidden Markov Model image representation	Jul 22, 2016	Ensemble LearningGeneral Classification	—Unverified
An evaluation of data augmentation methods for sound scene geotagging	Oct 9, 2021	Acoustic Scene ClassificationClassification	—Unverified

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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