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 141150 of 453 papers

TitleStatusHype
Data-Efficient Low-Complexity Acoustic Scene Classification in the DCASE 2024 ChallengeCode0
Ground-truth or DAER: Selective Re-query of Secondary InformationCode0
Assessment of Sentinel-2 spatial and temporal coverage based on the scene classification layerCode0
Deliberative Explanations: visualizing network insecuritiesCode0
Credible Remote Sensing Scene Classification Using Evidential Fusion on Aerial-Ground Dual-view ImagesCode0
Exploiting Parallel Audio Recordings to Enforce Device Invariance in CNN-based Acoustic Scene ClassificationCode0
Deep Metric Learning-Based Feature Embedding for Hyperspectral Image ClassificationCode0
Domain Information Control at Inference Time for Acoustic Scene ClassificationCode0
Equivariant Multi-View NetworksCode0
Let there be color!: joint end-to-end learning of global and local image priors for automatic image colorization with simultaneous classificationCode0
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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