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 426450 of 453 papers

TitleStatusHype
A Variational Bayesian Approach to Learning Latent Variables for Acoustic Knowledge TransferCode0
Let there be color!: joint end-to-end learning of global and local image priors for automatic image colorization with simultaneous classificationCode0
A Challenge to Build Neuro-Symbolic Video AgentsCode0
Efficient Multi-Resolution Fusion for Remote Sensing Data with Label UncertaintyCode0
WATT-EffNet: A Lightweight and Accurate Model for Classifying Aerial Disaster ImagesCode0
Semantic-Aware Scene RecognitionCode0
Training neural audio classifiers with few dataCode0
Local semantic enhanced convnet for aerial scene recognitionCode0
Semi-supervised multi-label feature selection via label correlation analysis with l1-norm graph embeddingCode0
Low-complexity acoustic scene classification for multi-device audio: analysis of DCASE 2021 Challenge systemsCode0
AudioLog: LLMs-Powered Long Audio Logging with Hybrid Token-Semantic Contrastive LearningCode0
Credible Remote Sensing Scene Classification Using Evidential Fusion on Aerial-Ground Dual-view ImagesCode0
Low-Complexity Acoustic Scene Classification Using Parallel Attention-Convolution NetworkCode0
Low-Complexity Acoustic Scene Classification with Device Information in the DCASE 2025 ChallengeCode0
Neural Embedding Compression For Efficient Multi-Task Earth Observation ModellingCode0
Multi-Modal RGB-D Scene Recognition Across DomainsCode0
Acoustic scene classification using auditory datasetsCode0
Understanding and Visualizing Deep Visual Saliency ModelsCode0
Domain Information Control at Inference Time for Acoustic Scene ClassificationCode0
Deliberative Explanations: visualizing network insecuritiesCode0
Mapping Between fMRI Responses to Movies and their Natural Language AnnotationsCode0
Relay Backpropagation for Effective Learning of Deep Convolutional Neural NetworksCode0
Acoustic scene analysis with multi-head attention networksCode0
Comparing Importance Sampling Based Methods for Mitigating the Effect of Class ImbalanceCode0
CochlScene: Acquisition of acoustic scene data using crowdsourcingCode0
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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