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 76–100 of 453 papers

TitleStatusHype
SkyScript: A Large and Semantically Diverse Vision-Language Dataset for Remote SensingCode2
Language-Assisted 3D Scene Understanding—0
CartoMark: a benchmark dataset for map pattern recognition and 1 map content retrieval with machine intelligence—0
GeoChat: Grounded Large Vision-Language Model for Remote SensingCode2
Cascade Learning Localises Discriminant Features in Visual Scene Classification—0
AudioLog: LLMs-Powered Long Audio Logging with Hybrid Token-Semantic Contrastive LearningCode0
SpectralGPT: Spectral Remote Sensing Foundation ModelCode2
CD-COCO: A Versatile Complex Distorted COCO Database for Scene-Context-Aware Computer VisionCode1
Unlocking the capabilities of explainable fewshot learning in remote sensing—0
Audio Event-Relational Graph Representation Learning for Acoustic Scene ClassificationCode1
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
Decoupling Common and Unique Representations for Multimodal Self-supervised LearningCode1
SOAR: Scene-debiasing Open-set Action RecognitionCode1
Universal Adversarial Defense in Remote Sensing Based on Pre-trained Denoising Diffusion ModelsCode1
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
Efficient Multi-Task Scene Analysis with RGB-D TransformersCode1
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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