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

Showing 161170 of 453 papers

TitleStatusHype
Nearest Neighbor Based Out-of-Distribution Detection in Remote Sensing Scene Classification0
Creating Ensembles of Classifiers through UMDA for Aerial Scene Classification0
Incremental Learning of Acoustic Scenes and Sound Events0
Remote Sensing Scene Classification with Masked Image Modeling (MIM)0
A Deep Learning-based Global and Segmentation-based Semantic Feature Fusion Approach for Indoor Scene Classification0
Short-Term Memory Convolutions0
Self-Supervised In-Domain Representation Learning for Remote Sensing Image Scene Classification0
Evaluation of the potential of Near Infrared Hyperspectral Imaging for monitoring the invasive brown marmorated stink bug0
Robust Remote Sensing Scene Classification with Multi-View Voting and Entropy Ranking0
Credible Remote Sensing Scene Classification Using Evidential Fusion on Aerial-Ground Dual-view ImagesCode0
Show:102550
← PrevPage 17 of 46Next →

Benchmark Results

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