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 51–75 of 453 papers

TitleStatusHype
A Label Propagation Strategy for CutMix in Multi-Label Remote Sensing Image Classification—0
Data-Efficient Low-Complexity Acoustic Scene Classification in the DCASE 2024 ChallengeCode0
Dual-Branch Network for Portrait Image Quality AssessmentCode1
Deep Space Separable Distillation for Lightweight Acoustic Scene Classification—0
A Toolchain for Comprehensive Audio/Video Analysis Using Deep Learning Based Multimodal Approach (A use case of riot or violent context detection)—0
Visual and audio scene classification for detecting discrepancies in video: a baseline method and experimental protocolCode0
Pretraining Billion-scale Geospatial Foundational Models on Frontier—0
Exploiting Object-based and Segmentation-based Semantic Features for Deep Learning-based Indoor Scene Classification—0
Bridging Remote Sensors with Multisensor Geospatial Foundation ModelsCode2
VHM: Versatile and Honest Vision Language Model for Remote Sensing Image AnalysisCode2
RSMamba: Remote Sensing Image Classification with State Space ModelCode3
Neural Embedding Compression For Efficient Multi-Task Earth Observation ModellingCode0
Leveraging feature communication in federated learning for remote sensing image classification—0
MTP: Advancing Remote Sensing Foundation Model via Multi-Task PretrainingCode3
Leveraging Self-Supervised Learning for Scene Classification in Child Sexual Abuse Imagery—0
Comparing Importance Sampling Based Methods for Mitigating the Effect of Class ImbalanceCode0
Efficient Multi-Resolution Fusion for Remote Sensing Data with Label UncertaintyCode0
Description on IEEE ICME 2024 Grand Challenge: Semi-supervised Acoustic Scene Classification under Domain ShiftCode1
Deep Semantic-Visual Alignment for Zero-Shot Remote Sensing Image Scene ClassificationCode1
Knowledge-Aware Neuron Interpretation for Scene Classification—0
Bayesian adaptive learning to latent variables via Variational Bayes and Maximum a Posteriori—0
Digital Divides in Scene Recognition: Uncovering Socioeconomic Biases in Deep Learning Systems—0
A Volumetric Saliency Guided Image Summarization for RGB-D Indoor Scene Classification—0
Generic Knowledge Boosted Pre-training For Remote Sensing ImagesCode1
Kronecker Product Feature Fusion for Convolutional Neural Network in Remote Sensing Scene Classification—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