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 411420 of 453 papers

TitleStatusHype
Unsupervised Adversarial Domain Adaptation Based On The Wasserstein Distance For Acoustic Scene ClassificationCode0
A Continual Development Methodology for Large-scale Multitask Dynamic ML SystemsCode0
Unsupervised Few-Shot Continual Learning for Remote Sensing Image Scene ClassificationCode0
A New Lightweight Hybrid Graph Convolutional Neural Network -- CNN Scheme for Scene Classification using Object Detection InferenceCode0
Unsupervised Improvement of Audio-Text Cross-Modal RepresentationsCode0
An embarrassingly simple comparison of machine learning algorithms for indoor scene classificationCode0
An Audio-Visual Dataset and Deep Learning Frameworks for Crowded Scene ClassificationCode0
Bringing the Discussion of Minima Sharpness to the Audio Domain: a Filter-Normalised Evaluation for Acoustic Scene ClassificationCode0
What makes ImageNet good for transfer learning?Code0
Towards Audio Domain Adaptation for Acoustic Scene Classification using Disentanglement LearningCode0
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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