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 171180 of 453 papers

TitleStatusHype
Audio-Visual Scene Classification Using A Transfer Learning Based Joint Optimization Strategy0
A high-resolution canopy height model of the Earth0
TOV: The Original Vision Model for Optical Remote Sensing Image Understanding via Self-supervised Learning0
1-D CNN based Acoustic Scene Classification via Reducing Layer-wise Dimensionality0
A Passive Similarity based CNN Filter Pruning for Efficient Acoustic Scene ClassificationCode0
A Multi-Stage Duplex Fusion ConvNet for Aerial Scene Classification0
Wider or Deeper Neural Network Architecture for Acoustic Scene Classification with Mismatched Recording Devices0
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
Deep Neural Decision Forest for Acoustic Scene Classification0
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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