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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 201–225 of 453 papers

TitleStatusHype
All Grains, One Scheme (AGOS): Learning Multi-grain Instance Representation for Aerial Scene ClassificationCode0
A Comparative Study on Approaches to Acoustic Scene Classification using CNNs—0
Audio-Visual Scene Classification Using A Transfer Learning Based Joint Optimization Strategy—0
A high-resolution canopy height model of the Earth—0
TOV: The Original Vision Model for Optical Remote Sensing Image Understanding via Self-supervised Learning—0
1-D CNN based Acoustic Scene Classification via Reducing Layer-wise Dimensionality—0
A Passive Similarity based CNN Filter Pruning for Efficient Acoustic Scene ClassificationCode0
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
Deep Neural Decision Forest for Acoustic Scene Classification—0
A study on joint modeling and data augmentation of multi-modalities for audio-visual scene classification—0
Feature Transformation for Cross-domain Few-shot Remote Sensing Scene Classification—0
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
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
SOAT: A Scene- and Object-Aware Transformer for Vision-and-Language Navigation—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