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 51–100 of 453 papers

TitleStatusHype
Efficient Multi-Task RGB-D Scene Analysis for Indoor EnvironmentsCode1
Device-Robust Acoustic Scene Classification Based on Two-Stage Categorization and Data AugmentationCode1
Deep Semantic-Visual Alignment for Zero-Shot Remote Sensing Image Scene ClassificationCode1
ApproxDet: Content and Contention-Aware Approximate Object Detection for MobilesCode1
Device-Robust Acoustic Scene Classification via Impulse Response AugmentationCode1
Debiased Self-Training for Semi-Supervised LearningCode1
Remote Sensing Image Classification with the SEN12MS DatasetCode1
CMID: A Unified Self-Supervised Learning Framework for Remote Sensing Image UnderstandingCode1
AID: A Benchmark Dataset for Performance Evaluation of Aerial Scene ClassificationCode1
Convolutional Neural Networks Based Remote Sensing Scene Classification under Clear and Cloudy EnvironmentsCode1
Decoupling Common and Unique Representations for Multimodal Self-supervised LearningCode1
On Creating Benchmark Dataset for Aerial Image Interpretation: Reviews, Guidances and Million-AIDCode1
MLRSNet: A Multi-label High Spatial Resolution Remote Sensing Dataset for Semantic Scene UnderstandingCode1
CITISEN: A Deep Learning-Based Speech Signal-Processing Mobile ApplicationCode1
A system of vision sensor based deep neural networks for complex driving scene analysis in support of crash risk assessment and preventionCode1
DCASENET: A joint pre-trained deep neural network for detecting and classifying acoustic scenes and eventsCode1
Deep CNNs Meet Global Covariance Pooling: Better Representation and GeneralizationCode1
Deep-Learning-Based Aerial Image Classification for Emergency Response Applications Using Unmanned Aerial VehiclesCode1
Description on IEEE ICME 2024 Grand Challenge: Semi-supervised Acoustic Scene Classification under Domain ShiftCode1
A Two-Stage Approach to Device-Robust Acoustic Scene ClassificationCode1
WaveMix: A Resource-efficient Neural Network for Image AnalysisCode1
A Squeeze-and-Excitation and Transformer based Cross-task System for Environmental Sound Recognition—0
A Spatial Layout and Scale Invariant Feature Representation for Indoor Scene Classification—0
A Hybrid Approach with Multi-channel I-Vectors and Convolutional Neural Networks for Acoustic Scene Classification—0
ASK: Adaptively Selecting Key Local Features for RGB-D Scene Recognition—0
A high-resolution canopy height model of the Earth—0
Acoustic Scene Classification using Audio Tagging—0
Constrained Parametric Proposals and Pooling Methods for Semantic Segmentation in RGB-D Images—0
Artistic Object Recognition by Unsupervised Style Adaptation—0
A Hierarchical Approach to Remote Sensing Scene Classification—0
Acoustic scene classification in DCASE 2020 Challenge: generalization across devices and low complexity solutions—0
A punishment voting algorithm based on super categories construction for acoustic scene classification—0
A probabilistic patch based image representation using Conditional Random Field model for image classification—0
Aerial Scene Parsing: From Tile-level Scene Classification to Pixel-wise Semantic Labeling—0
A Comparative Study on Approaches to Acoustic Scene Classification using CNNs—0
Contextual Sense Making by Fusing Scene Classification, Detections, and Events in Full Motion Video—0
Aerial Flood Scene Classification Using Fine-Tuned Attention-based Architecture for Flood-Prone Countries in South Asia—0
Adversarial Training For Sketch Retrieval—0
A Comparative Study of Deep Learning Loss Functions for Multi-Label Remote Sensing Image Classification—0
ConceptVision: A Flexible Scene Classification Framework—0
Adversarial Domain Adaptation with Paired Examples for Acoustic Scene Classification on Different Recording Devices—0
An evaluation of data augmentation methods for sound scene geotagging—0
2D-3D Geometric Fusion Network using Multi-Neighbourhood Graph Convolution for RGB-D Indoor Scene Classification—0
Cascade Learning Localises Discriminant Features in Visual Scene Classification—0
CartoMark: a benchmark dataset for map pattern recognition and 1 map content retrieval with machine intelligence—0
An ensemble learning method for scene classification based on Hidden Markov Model image representation—0
Capturing scattered discriminative information using a deep architecture in acoustic scene classification—0
A Discriminative Representation of Convolutional Features for Indoor Scene Recognition—0
Acoustic Scene Classification Based on a Large-margin Factorized CNN—0
Compressing audio CNNs with graph centrality based filter pruning—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