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 331340 of 453 papers

TitleStatusHype
Leveraging Self-Supervised Learning for Scene Classification in Child Sexual Abuse Imagery0
Locality-preserving Directions for Interpreting the Latent Space of Satellite Image GANs0
Look and Listen: A Multi-modality Late Fusion Approach to Scene Classification for Autonomous Machines0
Low-complexity acoustic scene classification in DCASE 2022 Challenge0
Low-Complexity Acoustic Scene Classification Using Data Augmentation and Lightweight ResNet0
Low-complexity CNNs for Acoustic Scene Classification0
Low-complexity CNNs for Acoustic Scene Classification0
Low-complexity deep learning frameworks for acoustic scene classification0
Low-complexity deep learning frameworks for acoustic scene classification using teacher-student scheme and multiple spectrograms0
MEET: A Million-Scale Dataset for Fine-Grained Geospatial Scene Classification with Zoom-Free Remote Sensing Imagery0
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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