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 191200 of 453 papers

TitleStatusHype
QTI Submission to DCASE 2021: residual normalization for device-imbalanced acoustic scene classification with efficient design0
Impact of Acoustic Event Tagging on Scene Classification in a Multi-Task Learning Framework0
Domain Generalization with Relaxed Instance Frequency-wise Normalization for Multi-device Acoustic Scene Classification0
Remote Sensing Image Classification using Transfer Learning and Attention Based Deep Neural Network0
DCASE 2022: Comparative Analysis Of CNNs For Acoustic Scene Classification Under Low-Complexity Considerations0
Low-complexity deep learning frameworks for acoustic scene classification0
Low-complexity acoustic scene classification in DCASE 2022 Challenge0
Self-supervised Learning of Audio Representations from Audio-Visual Data using Spatial Alignment0
Learning Instance Representation Banks for Aerial Scene Classification0
Pairwise Comparison Network for Remote Sensing Scene 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