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 51–75 of 453 papers

TitleStatusHype
A Two-Stage Approach to Device-Robust Acoustic Scene ClassificationCode1
ApproxDet: Content and Contention-Aware Approximate Object Detection for MobilesCode1
What Can You Learn from Your Muscles? Learning Visual Representation from Human InteractionsCode1
MLRSNet: A Multi-label High Spatial Resolution Remote Sensing Dataset for Semantic Scene UnderstandingCode1
DCASENET: A joint pre-trained deep neural network for detecting and classifying acoustic scenes and eventsCode1
Understanding the Role of Individual Units in a Deep Neural NetworkCode1
Scene-Graph Augmented Data-Driven Risk Assessment of Autonomous Vehicle DecisionsCode1
CITISEN: A Deep Learning-Based Speech Signal-Processing Mobile ApplicationCode1
Device-Robust Acoustic Scene Classification Based on Two-Stage Categorization and Data AugmentationCode1
On Creating Benchmark Dataset for Aerial Image Interpretation: Reviews, Guidances and Million-AIDCode1
Emergent Properties of Foveated Perceptual SystemsCode1
Multi-Temporal Scene Classification and Scene Change Detection with Correlation based FusionCode1
Vision-based Fight Detection from Surveillance CamerasCode1
Emotion and Theme Recognition in Music with Frequency-Aware RF-Regularized CNNsCode1
Receptive-field-regularized CNN variants for acoustic scene classificationCode1
The Receptive Field as a Regularizer in Deep Convolutional Neural Networks for Acoustic Scene ClassificationCode1
Deep-Learning-Based Aerial Image Classification for Emergency Response Applications Using Unmanned Aerial VehiclesCode1
SEN12MS -- A Curated Dataset of Georeferenced Multi-Spectral Sentinel-1/2 Imagery for Deep Learning and Data FusionCode1
Deep CNNs Meet Global Covariance Pooling: Better Representation and GeneralizationCode1
Remote Sensing Image Scene Classification: Benchmark and State of the ArtCode1
AID: A Benchmark Dataset for Performance Evaluation of Aerial Scene ClassificationCode1
Towards Scalable and Generalizable Earth Observation Data Mining via Foundation Model Composition—0
A Challenge to Build Neuro-Symbolic Video AgentsCode0
EarthSynth: Generating Informative Earth Observation with Diffusion Models—0
Energy efficiency analysis of Spiking Neural Networks for space applications—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