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 211220 of 453 papers

TitleStatusHype
Robust Feature Learning on Long-Duration Sounds for Acoustic Scene Classification0
Robust Acoustic Scene Classification in the Presence of Active Foreground Speech0
Enhancing Social Relation Inference with Concise Interaction Graph and Discriminative Scene Representation0
Task 1A DCASE 2021: Acoustic Scene Classification with mismatch-devices using squeeze-excitation technique and low-complexity constraint0
Squeeze-Excitation Convolutional Recurrent Neural Networks for Audio-Visual Scene Classification0
Over-Parameterization and Generalization in Audio Classification0
Geographical Knowledge-driven Representation Learning for Remote Sensing ImagesCode1
Local semantic enhanced convnet for aerial scene recognitionCode0
A Lottery Ticket Hypothesis Framework for Low-Complexity Device-Robust Neural Acoustic Scene Classification0
A system of vision sensor based deep neural networks for complex driving scene analysis in support of crash risk assessment and preventionCode1
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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