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 341350 of 453 papers

TitleStatusHype
A probabilistic patch based image representation using Conditional Random Field model for image classification0
A punishment voting algorithm based on super categories construction for acoustic scene classification0
Artistic Object Recognition by Unsupervised Style Adaptation0
ASK: Adaptively Selecting Key Local Features for RGB-D Scene Recognition0
A Spatial Layout and Scale Invariant Feature Representation for Indoor Scene Classification0
A Squeeze-and-Excitation and Transformer based Cross-task System for Environmental Sound Recognition0
A study on joint modeling and data augmentation of multi-modalities for audio-visual scene classification0
A Toolchain for Comprehensive Audio/Video Analysis Using Deep Learning Based Multimodal Approach (A use case of riot or violent context detection)0
A Transformer-based Audio Captioning Model with Keyword Estimation0
Attentional Graph Convolutional Network for Structure-aware Audio-Visual Scene Classification0
Show:102550
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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