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 201210 of 453 papers

TitleStatusHype
Capturing scattered discriminative information using a deep architecture in acoustic scene classification0
Exploring the significance of using perceptually relevant image decolorization method for scene classification0
A Discriminative Representation of Convolutional Features for Indoor Scene Recognition0
Fast and Accurate Quantized Camera Scene Detection on Smartphones, Mobile AI 2021 Challenge: Report0
Acoustic Scene Classification Based on a Large-margin Factorized CNN0
FedRSClip: Federated Learning for Remote Sensing Scene Classification Using Vision-Language Models0
A Comparative Study of Deep Learning Loss Functions for Multi-Label Remote Sensing Image Classification0
2D-3D Geometric Fusion Network using Multi-Neighbourhood Graph Convolution for RGB-D Indoor Scene Classification0
Enhanced Multi-level Features for Very High Resolution Remote Sensing Scene Classification0
Embedded Self-Distillation in Compact Multi-Branch Ensemble Network for Remote Sensing 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