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

Showing 251260 of 453 papers

TitleStatusHype
Sample Dropout for Audio Scene Classification Using Multi-Scale Dense Connected Convolutional Neural Network0
Satellite Image Scene Classification via ConvNet with Context Aggregation0
Scalable Multitask Representation Learning for Scene Classification0
Scenarios: A New Representation for Complex Scene Understanding0
Scene Categorization from Contours: Medial Axis Based Salience Measures0
Scene Classification in Indoor Environments for Robots using Context Based Word Embeddings0
Scene Classification With Semantic Fisher Vectors0
Scene Recognition with Objectness, Attribute and Category Learning0
Scene Retrieval for Contextual Visual Mapping0
SeasoNet: A Seasonal Scene Classification, segmentation and Retrieval dataset for satellite Imagery over Germany0
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Benchmark Results

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