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

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Showing 201–250 of 453 papers

TitleStatusHype
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
Geographical Knowledge-driven Representation Learning for Remote Sensing ImagesCode1
Local semantic enhanced convnet for aerial scene recognitionCode0
A Lottery Ticket Hypothesis Framework for Low-Complexity Device-Robust Neural Acoustic Scene Classification—0
A system of vision sensor based deep neural networks for complex driving scene analysis in support of crash risk assessment and preventionCode1
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
Receptive Field Regularization Techniques for Audio Classification and Tagging with Deep Convolutional Neural NetworksCode1
Spectrum Correction: Acoustic Scene Classification with Mismatched Recording DevicesCode1
Multi-Feature Fusion-based Scene Classification Framework for HSR Images—0
Fast and Accurate Quantized Camera Scene Detection on Smartphones, Mobile AI 2021 Challenge: Report—0
BigEarthNet-MM: A Large Scale Multi-Modal Multi-Label Benchmark Archive for Remote Sensing Image Classification and Retrieval—0
Mini-batch graphs for robust image classification—0
Attentive max feature map and joint training for acoustic scene classification—0
An Analysis of State-of-the-art Activation Functions For Supervised Deep Neural Network—0
Remote Sensing Image Classification with the SEN12MS DatasetCode1
Embedded Self-Distillation in Compact Multi-Branch Ensemble Network for Remote Sensing Scene Classification—0
SpecAugment++: A Hidden Space Data Augmentation Method for Acoustic Scene Classification—0
Environmental sound analysis with mixup based multitask learning and cross-task fusion—0
A Hierarchical Approach to Remote Sensing Scene Classification—0
Multi-Modal RGB-D Scene Recognition Across DomainsCode0
MSMatch: Semi-Supervised Multispectral Scene Classification with Few LabelsCode1
Inductive biases, pretraining and fine-tuning jointly account for brain responses to speech—0
Scene Retrieval for Contextual Visual Mapping—0
Deep Learning for Scene Classification: A Survey—0
HexCNN: A Framework for Native Hexagonal Convolutional Neural Networks—0
Learning Visual Representation from Human Interactions—0
MGML: Multi-Granularity Multi-Level Feature Ensemble Network for Remote Sensing Scene Classification—0
Low-Complexity Models for Acoustic Scene Classification Based on Receptive Field Regularization and Frequency DampingCode1
A Two-Stage Approach to Device-Robust Acoustic Scene ClassificationCode1
ApproxDet: Content and Contention-Aware Approximate Object Detection for MobilesCode1
Exploiting Context for Robustness to Label Noise in Active Learning—0
What Can You Learn from Your Muscles? Learning Visual Representation from Human InteractionsCode1
Remote Sensing Image Scene Classification with Self-Supervised Paradigm under Limited Labeled Samples—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