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 131–140 of 453 papers

Title	Date	Tasks	Status	Score
Efficient Similarity-based Passive Filter Pruning for Compressing CNNs	Oct 27, 2022	Acoustic Scene ClassificationScene Classification	CodeCode Available	5
Generalized Scene Classification from Small-Scale Datasets with Multi-Task Learning	Oct 8, 2021	ClassificationMulti-Task Learning	CodeCode Available	5
Decentralised Semi-supervised Onboard Learning for Scene Classification in Low-Earth Orbit	May 6, 2023	Federated LearningScene Classification	CodeCode Available	5
Efficient Multi-Resolution Fusion for Remote Sensing Data with Label Uncertainty	Feb 7, 2024	Scene Classification	CodeCode Available	5
A Continual Development Methodology for Large-scale Multitask Dynamic ML Systems	Sep 15, 2022	Domain GeneralizationFine-Grained Image Classification	CodeCode Available	5
Domain Information Control at Inference Time for Acoustic Scene Classification	Jun 13, 2023	Acoustic Scene ClassificationDomain Generalization	CodeCode Available	5
Acoustic scene classification using auditory datasets	Dec 26, 2021	Acoustic Scene ClassificationClassification	CodeCode Available	5
Data-Efficient Low-Complexity Acoustic Scene Classification in the DCASE 2024 Challenge	May 16, 2024	Acoustic Scene ClassificationScene Classification	CodeCode Available	5
Ground-truth or DAER: Selective Re-query of Secondary Information	Sep 16, 2020	Object TrackingScene Classification	CodeCode Available	5
Deep Metric Learning-Based Feature Embedding for Hyperspectral Image Classification	Oct 30, 2019	Domain AdaptationFew-Shot Image Classification	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