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 21–30 of 453 papers

TitleStatusHype
LWGANet: A Lightweight Group Attention Backbone for Remote Sensing Visual TasksCode2
A Vision-Language Framework for Multispectral Scene Representation Using Language-Grounded Features—0
Quantum-Enhanced Transformers for Robust Acoustic Scene Classification in IoT Environments—0
Multi-Label Scene Classification in Remote Sensing Benefits from Image Super-Resolution—0
Vision-Language Models for Autonomous Driving: CLIP-Based Dynamic Scene Understanding—0
Enhancing Scene Classification in Cloudy Image Scenarios: A Collaborative Transfer Method with Information Regulation Mechanism using Optical Cloud-Covered and SAR Remote Sensing ImagesCode0
FedRSClip: Federated Learning for Remote Sensing Scene Classification Using Vision-Language Models—0
UniRS: Unifying Multi-temporal Remote Sensing Tasks through Vision Language ModelsCode0
Improving Acoustic Scene Classification in Low-Resource Conditions—0
How Certain are Uncertainty Estimates? Three Novel Earth Observation Datasets for Benchmarking Uncertainty Quantification in Machine Learning—0
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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