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 371–380 of 453 papers

Title	Date	Tasks	Status
Open-Vocabulary Semantic Segmentation with Uncertainty Alignment for Robotic Scene Understanding in Indoor Building Environments	Mar 29, 2025	NavigateOpen Vocabulary Semantic Segmentation	—Unverified
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
Exploring Models and Data for Remote Sensing Image Caption Generation	Dec 21, 2017	Caption GenerationImage-to-Text Retrieval	CodeCode Available
Deep Metric Learning-Based Feature Embedding for Hyperspectral Image Classification	Oct 30, 2019	Domain AdaptationFew-Shot Image Classification	CodeCode Available
FrogDogNet: Fourier frequency Retained visual prompt Output Guidance for Domain Generalization of CLIP in Remote Sensing	Apr 23, 2025	Domain GeneralizationPrompt Learning	CodeCode Available
Generalized Scene Classification from Small-Scale Datasets with Multi-Task Learning	Oct 8, 2021	ClassificationMulti-Task Learning	CodeCode Available
Exploiting Parallel Audio Recordings to Enforce Device Invariance in CNN-based Acoustic Scene Classification	Sep 4, 2019	Acoustic Scene ClassificationBIG-bench Machine Learning	CodeCode Available
Equivariant Multi-View Networks	Apr 1, 2019	3D Shape Classification3D Shape Retrieval	CodeCode Available
Enhancing Scene Classification in Cloudy Image Scenarios: A Collaborative Transfer Method with Information Regulation Mechanism using Optical Cloud-Covered and SAR Remote Sensing Images	Jan 8, 2025	Cloud RemovalKnowledge Distillation	CodeCode Available

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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