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

Showing 141150 of 453 papers

TitleStatusHype
Visual Saliency Detection in Advanced Driver Assistance Systems0
Do humans and Convolutional Neural Networks attend to similar areas during scene classification: Effects of task and image type0
EnTri: Ensemble Learning with Tri-level Representations for Explainable Scene Recognition0
TbExplain: A Text-based Explanation Method for Scene Classification Models with the Statistical Prediction Correction0
In-Domain Self-Supervised Learning Improves Remote Sensing Image Scene Classification0
On Frequency-Wise Normalizations for Better Recording Device Generalization in Audio Spectrogram Transformers0
Domain Information Control at Inference Time for Acoustic Scene ClassificationCode0
Acoustic Scene Clustering Using Joint Optimization of Deep Embedding Learning and Clustering Iteration0
Low-Complexity Acoustic Scene Classification Using Data Augmentation and Lightweight ResNet0
Multi-level Cross-modal Feature Alignment via Contrastive Learning towards Zero-shot Classification of Remote Sensing Image ScenesCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1µ2Net+ (ViT-L/16)Accuracy (%)100Unverified
2AGOSAccuracy (%)99.88Unverified
3LSE-NetAccuracy (%)99.78Unverified
4ResNet50Accuracy (%)99.61Unverified
5MSMatchAccuracy (%)98.33Unverified
6MIDC-NetAccuracy (%)97.4Unverified
#ModelMetricClaimedVerifiedStatus
1iSQRT-COV-Net (ResNet-50)Top 1 Error43.68Unverified
2WaveMixTop 1 Error43.55Unverified