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 221–230 of 453 papers

Title	Date	Tasks	Status
Optimal Transport Adapter Tuning for Bridging Modality Gaps in Few-Shot Remote Sensing Scene Classification	Mar 19, 2025	Scene Classification	—Unverified
Orientational Pyramid Matching for Recognizing Indoor Scenes	Jun 1, 2014	FormGeneral Classification	—Unverified
Over-Parameterization and Generalization in Audio Classification	Jul 19, 2021	Acoustic Scene ClassificationAudio Classification	—Unverified
Perceptual Organization and Recognition of Indoor Scenes from RGB-D Images	Jun 1, 2013	Boundary DetectionContour Detection	—Unverified
Per-Sample Kernel Adaptation for Visual Recognition and Grouping	Dec 1, 2015	Action RecognitionAction Recognition In Videos	—Unverified
Places: An Image Database for Deep Scene Understanding	Oct 6, 2016	BIG-bench Machine LearningClassification	—Unverified
Pretraining Billion-scale Geospatial Foundational Models on Frontier	Apr 17, 2024	Scene ClassificationSelf-Supervised Learning	—Unverified
QTI Submission to DCASE 2021: residual normalization for device-imbalanced acoustic scene classification with efficient design	Jun 28, 2022	Acoustic Scene ClassificationKnowledge Distillation	—Unverified
Quantum-Enhanced Transformers for Robust Acoustic Scene Classification in IoT Environments	Jan 16, 2025	Acoustic Scene ClassificationData Augmentation	—Unverified
ReactioNet: Learning High-Order Facial Behavior from Universal Stimulus-Reaction by Dyadic Relation Reasoning	Jan 1, 2023	Action Unit DetectionContrastive Learning	—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