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 101–125 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
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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