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 61–70 of 453 papers

TitleStatusHype
RSMamba: Remote Sensing Image Classification with State Space ModelCode3
Neural Embedding Compression For Efficient Multi-Task Earth Observation ModellingCode0
MTP: Advancing Remote Sensing Foundation Model via Multi-Task PretrainingCode3
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
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
Show:102550
← PrevPage 7 of 46Next →
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