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 381–390 of 453 papers

TitleStatusHype
Complex Scene Classification of PolSAR Imagery based on a Self-paced Learning Approach—0
Compressing audio CNNs with graph centrality based filter pruning—0
ConceptVision: A Flexible Scene Classification Framework—0
Constrained Parametric Proposals and Pooling Methods for Semantic Segmentation in RGB-D Images—0
Contextual Sense Making by Fusing Scene Classification, Detections, and Events in Full Motion Video—0
Convex Class Model on Symmetric Positive Definite Manifolds—0
Convolution Neural Network Architecture Learning for Remote Sensing Scene Classification—0
Creating a Good Teacher for Knowledge Distillation in Acoustic Scene Classification—0
Crime scene classification from skeletal trajectory analysis in surveillance settings—0
Cross-label Suppression: A Discriminative and Fast Dictionary Learning with Group Regularization—0
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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