SOTAVerified

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 AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 151–175 of 453 papers

TitleStatusHype
DeCoR: Defy Knowledge Forgetting by Predicting Earlier Audio Codes—0
Human-annotated label noise and their impact on ConvNets for remote sensing image scene classification—0
Low-complexity deep learning frameworks for acoustic scene classification using teacher-student scheme and multiple spectrograms—0
Decentralised Semi-supervised Onboard Learning for Scene Classification in Low-Earth OrbitCode0
Compressing audio CNNs with graph centrality based filter pruning—0
Unsupervised Improvement of Audio-Text Cross-Modal RepresentationsCode0
Enhanced Multi-level Features for Very High Resolution Remote Sensing Scene Classification—0
WATT-EffNet: A Lightweight and Accurate Model for Classifying Aerial Disaster ImagesCode0
On the Opportunities and Challenges of Foundation Models for Geospatial Artificial Intelligence—0
Efficient CNNs via Passive Filter Pruning—0
Nearest Neighbor Based Out-of-Distribution Detection in Remote Sensing Scene Classification—0
Creating Ensembles of Classifiers through UMDA for Aerial Scene Classification—0
Remote Sensing Scene Classification with Masked Image Modeling (MIM)—0
Incremental Learning of Acoustic Scenes and Sound Events—0
A Deep Learning-based Global and Segmentation-based Semantic Feature Fusion Approach for Indoor Scene Classification—0
Short-Term Memory Convolutions—0
Self-Supervised In-Domain Representation Learning for Remote Sensing Image Scene Classification—0
Evaluation of the potential of Near Infrared Hyperspectral Imaging for monitoring the invasive brown marmorated stink bug—0
Robust Remote Sensing Scene Classification with Multi-View Voting and Entropy Ranking—0
Credible Remote Sensing Scene Classification Using Evidential Fusion on Aerial-Ground Dual-view ImagesCode0
ReactioNet: Learning High-Order Facial Behavior from Universal Stimulus-Reaction by Dyadic Relation Reasoning—0
Attentional Graph Convolutional Network for Structure-aware Audio-Visual Scene Classification—0
AI Security for Geoscience and Remote Sensing: Challenges and Future Trends—0
One Class One Click: Quasi Scene-level Weakly Supervised Point Cloud Semantic Segmentation with Active Learning—0
SpectNet : End-to-End Audio Signal Classification Using Learnable SpectrogramsCode0
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All datasetsUC Merced Land Use DatasetPlaces365-Standard

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1µ2Net+ (ViT-L/16)Accuracy (%)100—Unverified
2AGOSAccuracy (%)99.88—Unverified
3LSE-NetAccuracy (%)99.78—Unverified
4ResNet50Accuracy (%)99.61—Unverified
5MSMatchAccuracy (%)98.33—Unverified
6MIDC-NetAccuracy (%)97.4—Unverified
#ModelMetricClaimedVerifiedStatus
1iSQRT-COV-Net (ResNet-50)Top 1 Error43.68—Unverified
2WaveMixTop 1 Error43.55—Unverified