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 281–290 of 453 papers

Title	Date	Tasks	Status	Hype
Acoustic Scene Classification using Audio Tagging	Apr 19, 2020	Acoustic Scene ClassificationAudio Tagging	—Unverified	0
Multi-Granularity Canonical Appearance Pooling for Remote Sensing Scene Classification	Apr 9, 2020	ClassificationGeneral Classification	—Unverified	0
Acoustic Scene Classification with Squeeze-Excitation Residual Networks	Mar 20, 2020	Acoustic Scene ClassificationClassification	—Unverified	0
A multiple-instance densely-connected ConvNet for aerial scene classification	Mar 3, 2020	Aerial Scene ClassificationClassification	CodeCode Available	0
DEEVA: A Deep Learning and IoT Based Computer Vision System to Address Safety and Security of Production Sites in Energy Industry	Mar 2, 2020	Decision Makingobject-detection	—Unverified	0
Acoustic Scene Classification Using Bilinear Pooling on Time-liked and Frequency-liked Convolution Neural Network	Feb 14, 2020	Acoustic Scene ClassificationGeneral Classification	—Unverified	0
Vision-based Fight Detection from Surveillance Cameras	Feb 11, 2020	Action RecognitionScene Classification	CodeCode Available	1
Convolution Neural Network Architecture Learning for Remote Sensing Scene Classification	Jan 27, 2020	ClassificationGeneral Classification	—Unverified	0
BigEarthNet Dataset with A New Class-Nomenclature for Remote Sensing Image Understanding	Jan 17, 2020	Content-Based Image RetrievalImage Retrieval	—Unverified	0
Contextual Sense Making by Fusing Scene Classification, Detections, and Events in Full Motion Video	Jan 16, 2020	Event DetectionGeneral 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