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

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Showing 271–280 of 453 papers

Title	Date	Tasks	Status
Solving Visual Madlibs with Multiple Cues	Aug 11, 2016	Activity PredictionAttribute	—Unverified
Sparse Output Coding for Large-Scale Visual Recognition	Jun 1, 2013	ClassificationGeneral Classification	—Unverified
Spatio-Temporal Attention Pooling for Audio Scene Classification	Apr 6, 2019	Acoustic Scene ClassificationClassification	—Unverified
SpecAugment++: A Hidden Space Data Augmentation Method for Acoustic Scene Classification	Mar 31, 2021	Acoustic Scene ClassificationData Augmentation	—Unverified
Squeeze-Excitation Convolutional Recurrent Neural Networks for Audio-Visual Scene Classification	Jul 28, 2021	Scene Classification	—Unverified
Stage 4 validation of the Satellite Image Automatic Mapper lightweight computer program for Earth observation Level 2 product generation, Part 1 Theory	Jan 8, 2017	Earth ObservationGeneral Classification	—Unverified
Stage 4 validation of the Satellite Image Automatic Mapper lightweight computer program for Earth observation Level 2 product generation, Part 2 Validation	Jan 8, 2017	Earth ObservationGeneral Classification	—Unverified
Task 1A DCASE 2021: Acoustic Scene Classification with mismatch-devices using squeeze-excitation technique and low-complexity constraint	Jul 30, 2021	Acoustic Scene ClassificationScene Classification	—Unverified
Task-Oriented Image Transmission for Scene Classification in Unmanned Aerial Systems	Dec 21, 2021	ClassificationDeep Reinforcement Learning	—Unverified
TbExplain: A Text-based Explanation Method for Scene Classification Models with the Statistical Prediction Correction	Jul 19, 2023	Explainable artificial intelligenceExplainable Artificial Intelligence (XAI)	—Unverified

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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