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 151–160 of 453 papers

TitleStatusHype
Automated Vision-based Bridge Component Extraction Using Multiscale Convolutional Neural Networks—0
Acoustic Scene Clustering Using Joint Optimization of Deep Embedding Learning and Clustering Iteration—0
Deep Scene Image Classification With the MFAFVNet—0
Audio-Visual Scene Classification Using A Transfer Learning Based Joint Optimization Strategy—0
Deep Robust Single Image Depth Estimation Neural Network Using Scene Understanding—0
Deep Within-Class Covariance Analysis for Robust Audio Representation Learning—0
Deep Within-Class Covariance Analysis for Robust Deep Audio Representation Learning—0
DEEVA: A Deep Learning and IoT Based Computer Vision System to Address Safety and Security of Production Sites in Energy Industry—0
Deep Neural Decision Forest for Acoustic Scene Classification—0
Audio-visual scene classification: analysis of DCASE 2021 Challenge submissions—0
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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