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 231–240 of 453 papers

Title	Date	Tasks	Status	Hype
An Analysis of State-of-the-art Activation Functions For Supervised Deep Neural Network	Apr 5, 2021	Acoustic Scene ClassificationClassification	—Unverified	0
Remote Sensing Image Classification with the SEN12MS Dataset	Apr 1, 2021	BenchmarkingClassification	CodeCode Available	1
Embedded Self-Distillation in Compact Multi-Branch Ensemble Network for Remote Sensing Scene Classification	Apr 1, 2021	General ClassificationScene Classification	—Unverified	0
SpecAugment++: A Hidden Space Data Augmentation Method for Acoustic Scene Classification	Mar 31, 2021	Acoustic Scene ClassificationData Augmentation	—Unverified	0
Environmental sound analysis with mixup based multitask learning and cross-task fusion	Mar 30, 2021	Acoustic Scene ClassificationClassification	—Unverified	0
A Hierarchical Approach to Remote Sensing Scene Classification	Mar 29, 2021	ClassificationGeneral Classification	—Unverified	0
Multi-Modal RGB-D Scene Recognition Across Domains	Mar 26, 2021	Scene ClassificationScene Recognition	CodeCode Available	0
MSMatch: Semi-Supervised Multispectral Scene Classification with Few Labels	Mar 18, 2021	ClassificationGeneral Classification	CodeCode Available	1
Inductive biases, pretraining and fine-tuning jointly account for brain responses to speech	Feb 25, 2021	Scene ClassificationSpeech-to-Text	—Unverified	0
Scene Retrieval for Contextual Visual Mapping	Feb 25, 2021	General ClassificationImage Retrieval	—Unverified	0

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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