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 1–50 of 453 papers

TitleStatusHype
RSMamba: Remote Sensing Image Classification with State Space ModelCode3
MTP: Advancing Remote Sensing Foundation Model via Multi-Task PretrainingCode3
RoMA: Scaling up Mamba-based Foundation Models for Remote SensingCode2
LWGANet: A Lightweight Group Attention Backbone for Remote Sensing Visual TasksCode2
TEOChat: A Large Vision-Language Assistant for Temporal Earth Observation DataCode2
Enhancing Remote Sensing Vision-Language Models for Zero-Shot Scene ClassificationCode2
RS-Agent: Automating Remote Sensing Tasks through Intelligent AgentCode2
Bridging Remote Sensors with Multisensor Geospatial Foundation ModelsCode2
VHM: Versatile and Honest Vision Language Model for Remote Sensing Image AnalysisCode2
SkyScript: A Large and Semantically Diverse Vision-Language Dataset for Remote SensingCode2
GeoChat: Grounded Large Vision-Language Model for Remote SensingCode2
SpectralGPT: Spectral Remote Sensing Foundation ModelCode2
Blind Image Quality Assessment via Vision-Language Correspondence: A Multitask Learning PerspectiveCode2
Few-Shot Scene Classification of Optical Remote Sensing Images Leveraging Calibrated Pretext TasksCode2
APLA: A Simple Adaptation Method for Vision TransformersCode1
Dual-Branch Network for Portrait Image Quality AssessmentCode1
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
Generic Knowledge Boosted Pre-training For Remote Sensing ImagesCode1
CD-COCO: A Versatile Complex Distorted COCO Database for Scene-Context-Aware Computer VisionCode1
Audio Event-Relational Graph Representation Learning for Acoustic Scene ClassificationCode1
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
Efficient Multi-Task Scene Analysis with RGB-D TransformersCode1
Device-Robust Acoustic Scene Classification via Impulse Response AugmentationCode1
Vision-Language Models in Remote Sensing: Current Progress and Future TrendsCode1
CMID: A Unified Self-Supervised Learning Framework for Remote Sensing Image UnderstandingCode1
APPLeNet: Visual Attention Parameterized Prompt Learning for Few-Shot Remote Sensing Image Generalization using CLIPCode1
Universal Domain Adaptation for Remote Sensing Image Scene ClassificationCode1
Backdoor Attacks for Remote Sensing Data with Wavelet TransformCode1
Multi-dimensional Edge-based Audio Event Relational Graph Representation Learning for Acoustic Scene ClassificationCode1
WaveMix-Lite: A Resource-efficient Neural Network for Image AnalysisCode1
Leveraging Large (Visual) Language Models for Robot 3D Scene UnderstandingCode1
Efficient Multi-Task RGB-D Scene Analysis for Indoor EnvironmentsCode1
Consecutive Pretraining: A Knowledge Transfer Learning Strategy with Relevant Unlabeled Data for Remote Sensing DomainCode1
BYOL-S: Learning Self-supervised Speech Representations by BootstrappingCode1
Self-Attention-Based Deep Feature Fusion for Remote Sensing Scene ClassificationCode1
WaveMix: A Resource-efficient Neural Network for Image AnalysisCode1
Debiased Self-Training for Semi-Supervised LearningCode1
Universal Adversarial Examples in Remote Sensing: Methodology and BenchmarkCode1
Convolutional Neural Networks Based Remote Sensing Scene Classification under Clear and Cloudy EnvironmentsCode1
Do we still need ImageNet pre-training in remote sensing scene classification?Code1
Geographical Knowledge-driven Representation Learning for Remote Sensing ImagesCode1
A system of vision sensor based deep neural networks for complex driving scene analysis in support of crash risk assessment and preventionCode1
Receptive Field Regularization Techniques for Audio Classification and Tagging with Deep Convolutional Neural NetworksCode1
Spectrum Correction: Acoustic Scene Classification with Mismatched Recording DevicesCode1
Remote Sensing Image Classification with the SEN12MS DatasetCode1
MSMatch: Semi-Supervised Multispectral Scene Classification with Few LabelsCode1
Low-Complexity Models for Acoustic Scene Classification Based on Receptive Field Regularization and Frequency DampingCode1
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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