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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 226–250 of 453 papers

TitleStatusHype
Towards Audio Domain Adaptation for Acoustic Scene Classification using Disentanglement LearningCode0
Leveraging Local Temporal Information for Multimodal Scene Classification—0
Adversarial Domain Adaptation with Paired Examples for Acoustic Scene Classification on Different Recording Devices—0
A Variational Bayesian Approach to Learning Latent Variables for Acoustic Knowledge TransferCode0
ASK: Adaptively Selecting Key Local Features for RGB-D Scene Recognition—0
Evaluating the Adversarial Robustness of a Foveated Texture Transform Module in a CNN—0
SGMNet: Scene Graph Matching Network for Few-Shot Remote Sensing Scene Classification—0
An evaluation of data augmentation methods for sound scene geotagging—0
Visually Exploring Multi-Purpose Audio Data—0
Generalized Scene Classification from Small-Scale Datasets with Multi-Task LearningCode0
Fairness and underspecification in acoustic scene classification: The case for disaggregated evaluations—0
Towards Robust Domain Generalization in 2D Neural Audio Processing—0
An embarrassingly simple comparison of machine learning algorithms for indoor scene classificationCode0
Robust Feature Learning on Long-Duration Sounds for Acoustic Scene Classification—0
Robust Acoustic Scene Classification in the Presence of Active Foreground Speech—0
Enhancing Social Relation Inference with Concise Interaction Graph and Discriminative Scene Representation—0
Task 1A DCASE 2021: Acoustic Scene Classification with mismatch-devices using squeeze-excitation technique and low-complexity constraint—0
Squeeze-Excitation Convolutional Recurrent Neural Networks for Audio-Visual Scene Classification—0
Over-Parameterization and Generalization in Audio Classification—0
Local semantic enhanced convnet for aerial scene recognitionCode0
A Lottery Ticket Hypothesis Framework for Low-Complexity Device-Robust Neural Acoustic Scene Classification—0
A Lightweight ReLU-Based Feature Fusion for Aerial Scene Classification—0
Low-complexity acoustic scene classification for multi-device audio: analysis of DCASE 2021 Challenge systemsCode0
Audio-visual scene classification: analysis of DCASE 2021 Challenge submissions—0
Multi-Feature Fusion-based Scene Classification Framework for HSR Images—0
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All datasetsUC Merced Land Use DatasetPlaces365-Standard

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1µ2Net+ (ViT-L/16)Accuracy (%)100—Unverified
2AGOSAccuracy (%)99.88—Unverified
3LSE-NetAccuracy (%)99.78—Unverified
4ResNet50Accuracy (%)99.61—Unverified
5MSMatchAccuracy (%)98.33—Unverified
6MIDC-NetAccuracy (%)97.4—Unverified
#ModelMetricClaimedVerifiedStatus
1iSQRT-COV-Net (ResNet-50)Top 1 Error43.68—Unverified
2WaveMixTop 1 Error43.55—Unverified