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 61–70 of 453 papers

Title	Date	Tasks	Status	Hype	Score
Emotion and Theme Recognition in Music with Frequency-Aware RF-Regularized CNNs	Oct 28, 2019	Acoustic Scene ClassificationScene Classification	CodeCode Available	1	5
Emergent Properties of Foveated Perceptual Systems	Jun 14, 2020	FoveationScene Classification	CodeCode Available	1	5
A system of vision sensor based deep neural networks for complex driving scene analysis in support of crash risk assessment and prevention	Jun 18, 2021	Autonomous VehiclesScene Classification	CodeCode Available	1	5
CMID: A Unified Self-Supervised Learning Framework for Remote Sensing Image Understanding	Apr 19, 2023	Change DetectionContrastive Learning	CodeCode Available	1	5
A Two-Stage Approach to Device-Robust Acoustic Scene Classification	Nov 3, 2020	Acoustic Scene ClassificationClassification	CodeCode Available	1	5
AID: A Benchmark Dataset for Performance Evaluation of Aerial Scene Classification	Aug 18, 2016	Aerial Scene ClassificationClassification	CodeCode Available	1	5
BYOL-S: Learning Self-supervised Speech Representations by Bootstrapping	Jun 24, 2022	Scene ClassificationSelf-Supervised Learning	CodeCode Available	1	5
Generic Knowledge Boosted Pre-training For Remote Sensing Images	Jan 9, 2024	Change DetectionDeep Learning	CodeCode Available	1	5
SEN12MS -- A Curated Dataset of Georeferenced Multi-Spectral Sentinel-1/2 Imagery for Deep Learning and Data Fusion	Jun 18, 2019	Cloud ComputingDiversity	CodeCode Available	1	5
WaveMix-Lite: A Resource-efficient Neural Network for Image Analysis	Oct 13, 2022	Efficient Neural NetworkGPU	CodeCode Available	1	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