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 101–150 of 453 papers

TitleStatusHype
Neurobench: DCASE 2020 Acoustic Scene Classification benchmark on XyloAudio 2—0
Less yet robust: crucial region selection for scene recognition—0
Data Efficient Acoustic Scene Classification using Teacher-Informed Confusing Class Instruction—0
Deep Clustering of Remote Sensing Scenes through Heterogeneous Transfer Learning—0
Audio Enhancement for Computer Audition -- An Iterative Training Paradigm Using Sample Importance—0
AI Foundation Models in Remote Sensing: A Survey—0
A New Lightweight Hybrid Graph Convolutional Neural Network -- CNN Scheme for Scene Classification using Object Detection InferenceCode0
Novel Artistic Scene-Centric Datasets for Effective Transfer Learning in Fragrant Spaces—0
Gradient-Guided Multiscale Focal Attention Network for Remote Sensing Scene ClassificationCode0
Online Domain-Incremental Learning Approach to Classify Acoustic Scenes in All Locations—0
Low-Complexity Acoustic Scene Classification Using Parallel Attention-Convolution NetworkCode0
Assessment of Sentinel-2 spatial and temporal coverage based on the scene classification layerCode0
VWise: A novel benchmark for evaluating scene classification for vehicular applications—0
Unsupervised Few-Shot Continual Learning for Remote Sensing Image Scene ClassificationCode0
Kolmogorov-Arnold Network for Satellite Image Classification in Remote SensingCode0
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
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
Neural Embedding Compression For Efficient Multi-Task Earth Observation ModellingCode0
Leveraging feature communication in federated learning for remote sensing image classification—0
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
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
Kronecker Product Feature Fusion for Convolutional Neural Network in Remote Sensing Scene Classification—0
Language-Assisted 3D Scene Understanding—0
CartoMark: a benchmark dataset for map pattern recognition and 1 map content retrieval with machine intelligence—0
Cascade Learning Localises Discriminant Features in Visual Scene Classification—0
AudioLog: LLMs-Powered Long Audio Logging with Hybrid Token-Semantic Contrastive LearningCode0
Unlocking the capabilities of explainable fewshot learning in remote sensing—0
Bringing the Discussion of Minima Sharpness to the Audio Domain: a Filter-Normalised Evaluation for Acoustic Scene ClassificationCode0
Locality-preserving Directions for Interpreting the Latent Space of Satellite Image GANs—0
MVP: Meta Visual Prompt Tuning for Few-Shot Remote Sensing Image Scene Classification—0
Visual Saliency Detection in Advanced Driver Assistance Systems—0
Do humans and Convolutional Neural Networks attend to similar areas during scene classification: Effects of task and image type—0
EnTri: Ensemble Learning with Tri-level Representations for Explainable Scene Recognition—0
TbExplain: A Text-based Explanation Method for Scene Classification Models with the Statistical Prediction Correction—0
In-Domain Self-Supervised Learning Improves Remote Sensing Image Scene Classification—0
On Frequency-Wise Normalizations for Better Recording Device Generalization in Audio Spectrogram Transformers—0
Domain Information Control at Inference Time for Acoustic Scene ClassificationCode0
Acoustic Scene Clustering Using Joint Optimization of Deep Embedding Learning and Clustering Iteration—0
Low-Complexity Acoustic Scene Classification Using Data Augmentation and Lightweight ResNet—0
Multi-level Cross-modal Feature Alignment via Contrastive Learning towards Zero-shot Classification of Remote Sensing Image ScenesCode0
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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