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 271280 of 453 papers

TitleStatusHype
A Transformer-based Audio Captioning Model with Keyword Estimation0
On Creating Benchmark Dataset for Aerial Image Interpretation: Reviews, Guidances and Million-AIDCode1
Remote Sensing Image Scene Classification with Deep Neural Networks in JPEG 2000 Compressed Domain0
Emergent Properties of Foveated Perceptual SystemsCode1
Multi-Temporal Scene Classification and Scene Change Detection with Correlation based FusionCode1
Acoustic scene classification in DCASE 2020 Challenge: generalization across devices and low complexity solutions0
ACGAN-based Data Augmentation Integrated with Long-term Scalogram for Acoustic Scene Classification0
Spatial Information Considered Network for Scene ClassificationCode0
Remote Sensing Image Scene Classification Meets Deep Learning: Challenges, Methods, Benchmarks, and Opportunities0
Unsupervised Domain Adaptation for Acoustic Scene Classification Using Band-Wise Statistics Matching0
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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