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 91100 of 453 papers

TitleStatusHype
Adversarial Domain Adaptation with Paired Examples for Acoustic Scene Classification on Different Recording Devices0
An evaluation of data augmentation methods for sound scene geotagging0
2D-3D Geometric Fusion Network using Multi-Neighbourhood Graph Convolution for RGB-D Indoor Scene Classification0
Cascade Learning Localises Discriminant Features in Visual Scene Classification0
CartoMark: a benchmark dataset for map pattern recognition and 1 map content retrieval with machine intelligence0
An ensemble learning method for scene classification based on Hidden Markov Model image representation0
Capturing scattered discriminative information using a deep architecture in acoustic scene classification0
A Discriminative Representation of Convolutional Features for Indoor Scene Recognition0
Acoustic Scene Classification Based on a Large-margin Factorized CNN0
Compressing audio CNNs with graph centrality based filter pruning0
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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