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

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Showing 326–350 of 453 papers

TitleStatusHype
Heterogeneous Multi-task Metric Learning across Multiple Domains—0
Spatio-Temporal Attention Pooling for Audio Scene Classification—0
Equivariant Multi-View NetworksCode0
Rotated Feature Network for multi-orientation object detection—0
Complex Scene Classification of PolSAR Imagery based on a Self-paced Learning Approach—0
Understanding and Visualizing Deep Visual Saliency ModelsCode0
Deep Discriminative Representation Learning with Attention Map for Scene Classification—0
BigEarthNet: A Large-Scale Benchmark Archive For Remote Sensing Image Understanding—0
Joint Spatial and Layer Attention for Convolutional Networks—0
Enhancing Sound Texture in CNN-Based Acoustic Scene Classification—0
A Remote Sensing Image Dataset for Cloud RemovalCode0
Artistic Object Recognition by Unsupervised Style Adaptation—0
Revisiting Multi-Task Learning with ROCK: a Deep Residual Auxiliary Block for Visual DetectionCode0
Scene Categorization from Contours: Medial Axis Based Salience Measures—0
Beyond Equal-Length Snippets: How Long is Sufficient to Recognize an Audio Scene?—0
Training neural audio classifiers with few dataCode0
Deep Within-Class Covariance Analysis for Robust Deep Audio Representation Learning—0
SiftingGAN: Generating and Sifting Labeled Samples to Improve the Remote Sensing Image Scene Classification Baseline in vitroCode0
CNNs for Surveillance Footage Scene Classification—0
CNNs-based Acoustic Scene Classification using Multi-Spectrogram Fusion and Label Expansions—0
Geolocation Estimation of Photos using a Hierarchical Model and Scene ClassificationCode0
Hierarchy of Alternating Specialists for Scene Recognition—0
Unsupervised adversarial domain adaptation for acoustic scene classificationCode0
Acoustic Scene Classification: A Competition Review—0
A multi-device dataset for urban acoustic scene classificationCode0
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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