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 321–330 of 453 papers

Title	Date	Tasks	Status	Hype
Dynamic Traffic Scene Classification with Space-Time Coherence	May 29, 2019	ClassificationGeneral Classification	—Unverified	0
Semantic Fisher Scores for Task Transfer: Using Objects to Classify Scenes	May 27, 2019	ClassificationGeneral Classification	—Unverified	0
Unsupervised Adversarial Domain Adaptation Based On The Wasserstein Distance For Acoustic Scene Classification	Apr 24, 2019	Acoustic Scene ClassificationClassification	CodeCode Available	0
Deep CNNs Meet Global Covariance Pooling: Better Representation and Generalization	Apr 15, 2019	Fine-Grained Visual RecognitionGeneral Classification	CodeCode Available	1
Acoustic Scene Classification by Implicitly Identifying Distinct Sound Events	Apr 10, 2019	Acoustic Scene ClassificationClassification	CodeCode Available	0
Heterogeneous Multi-task Metric Learning across Multiple Domains	Apr 8, 2019	Metric LearningScene Classification	—Unverified	0
Spatio-Temporal Attention Pooling for Audio Scene Classification	Apr 6, 2019	Acoustic Scene ClassificationClassification	—Unverified	0
Equivariant Multi-View Networks	Apr 1, 2019	3D Shape Classification3D Shape Retrieval	CodeCode Available	0
Rotated Feature Network for multi-orientation object detection	Mar 23, 2019	ClassificationDecoder	—Unverified	0
Complex Scene Classification of PolSAR Imagery based on a Self-paced Learning Approach	Mar 18, 2019	General Classificationimage-classification	—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