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 176–200 of 453 papers

TitleStatusHype
A Multi-Stage Duplex Fusion ConvNet for Aerial Scene Classification—0
Wider or Deeper Neural Network Architecture for Acoustic Scene Classification with Mismatched Recording Devices—0
A Squeeze-and-Excitation and Transformer based Cross-task System for Environmental Sound Recognition—0
A study on joint modeling and data augmentation of multi-modalities for audio-visual scene classification—0
Deep Neural Decision Forest for Acoustic Scene Classification—0
Feature Transformation for Cross-domain Few-shot Remote Sensing Scene Classification—0
Debiased Self-Training for Semi-Supervised LearningCode1
Universal Adversarial Examples in Remote Sensing: Methodology and BenchmarkCode1
CELESTIAL: Classification Enabled via Labelless Embeddings with Self-supervised Telescope Image Analysis Learning—0
Aerial Scene Parsing: From Tile-level Scene Classification to Pixel-wise Semantic Labeling—0
Convolutional Neural Networks Based Remote Sensing Scene Classification under Clear and Cloudy EnvironmentsCode1
Acoustic scene classification using auditory datasetsCode0
Task-Oriented Image Transmission for Scene Classification in Unmanned Aerial Systems—0
An Audio-Visual Dataset and Deep Learning Frameworks for Crowded Scene ClassificationCode0
On The Effect Of Coding Artifacts On Acoustic Scene Classification—0
RSBNet: One-Shot Neural Architecture Search for A Backbone Network in Remote Sensing Image Recognition—0
See More for Scene: Pairwise Consistency Learning for Scene Classification—0
Health Monitoring of Industrial machines using Scene-Aware Threshold Selection—0
Domain Generalization on Efficient Acoustic Scene Classification using Residual Normalization—0
Remote Sensing Image Super-resolution and Object Detection: Benchmark and State of the Art—0
Do we still need ImageNet pre-training in remote sensing scene classification?Code1
SOAT: A Scene- and Object-Aware Transformer for Vision-and-Language Navigation—0
Towards Audio Domain Adaptation for Acoustic Scene Classification using Disentanglement LearningCode0
Leveraging Local Temporal Information for Multimodal Scene Classification—0
Adversarial Domain Adaptation with Paired Examples for Acoustic Scene Classification on Different Recording Devices—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