SOTAVerified

Remote Sensing Image Classification

Papers

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Showing 76–93 of 93 papers

TitleStatusHype
Example-Based Explainable AI and its Application for Remote Sensing Image Classification—0
Federated Learning Across Decentralized and Unshared Archives for Remote Sensing Image Classification—0
FedRSClip: Federated Learning for Remote Sensing Scene Classification Using Vision-Language Models—0
FedSN: A Federated Learning Framework over Heterogeneous LEO Satellite Networks—0
Hyperspectral Remote Sensing Image Classification Based on Multi-scale Cross Graphic Convolution—0
In-Domain Self-Supervised Learning Improves Remote Sensing Image Scene Classification—0
Land-Cover Classification with High-Resolution Remote Sensing Images Using Transferable Deep Models—0
Learning transformer-based heterogeneously salient graph representation for multimodal remote sensing image classification—0
Leveraging feature communication in federated learning for remote sensing image classification—0
Low Saturation Confidence Distribution-based Test-Time Adaptation for Cross-Domain Remote Sensing Image Classification—0
MARTA GANs: Unsupervised Representation Learning for Remote Sensing Image Classification—0
MMFormer: Multimodal Transformer Using Multiscale Self-Attention for Remote Sensing Image Classification—0
Multisource Collaborative Domain Generalization for Cross-Scene Remote Sensing Image Classification—0
Multi-temporal and multi-source remote sensing image classification by nonlinear relative normalization—0
Nearest Neighbor Based Out-of-Distribution Detection in Remote Sensing Scene Classification—0
On the Effects of Different Types of Label Noise in Multi-Label Remote Sensing Image Classification—0
On the Promises and Challenges of Multimodal Foundation Models for Geographical, Environmental, Agricultural, and Urban Planning Applications—0
Optical Remote Sensing Image Understanding with Weak Supervision: Concepts, Methods, and Perspectives—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1MAE (ViT-B/16)Accuracy (%)65.29—Unverified
2DINO (ViT-B/16)Accuracy (%)63.36—Unverified
3ViT-B/16Accuracy (%)63.31—Unverified
4ResNet-50Accuracy (%)63.2—Unverified