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 151–175 of 453 papers

TitleStatusHype
Multi-Modal RGB-D Scene Recognition Across DomainsCode0
Creating a Good Teacher for Knowledge Distillation in Acoustic Scene Classification—0
Convolution Neural Network Architecture Learning for Remote Sensing Scene Classification—0
A Squeeze-and-Excitation and Transformer based Cross-task System for Environmental Sound Recognition—0
Convex Class Model on Symmetric Positive Definite Manifolds—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
Contextual Sense Making by Fusing Scene Classification, Detections, and Events in Full Motion Video—0
Constrained Parametric Proposals and Pooling Methods for Semantic Segmentation in RGB-D Images—0
ASK: Adaptively Selecting Key Local Features for RGB-D Scene Recognition—0
ConceptVision: A Flexible Scene Classification Framework—0
A high-resolution canopy height model of the Earth—0
Acoustic Scene Classification using Audio Tagging—0
Compressing audio CNNs with graph centrality based filter pruning—0
Artistic Object Recognition by Unsupervised Style Adaptation—0
Complex Scene Classification of PolSAR Imagery based on a Self-paced Learning Approach—0
A Hierarchical Approach to Remote Sensing Scene Classification—0
Creating Ensembles of Classifiers through UMDA for Aerial Scene Classification—0
Collaborative Layer-wise Discriminative Learning in Deep Neural Networks—0
A punishment voting algorithm based on super categories construction for acoustic scene classification—0
CNNs for Surveillance Footage 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
Acoustic scene classification in DCASE 2020 Challenge: generalization across devices and low complexity solutions—0
A Comparative Study on Approaches to Acoustic Scene Classification using CNNs—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