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Remote Sensing Image Classification
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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Remote Sensing Image Classification with Decoupled Knowledge Distillation
A Diff-Attention Aware State Space Fusion Model for Remote Sensing Classification
A Multi-Modal Federated Learning Framework for Remote Sensing Image Classification
Remote Sensing Image Classification Using Convolutional Neural Network (CNN) and Transfer Learning Techniques
Communication-Efficient Federated Learning Based on Explanation-Guided Pruning for Remote Sensing Image Classification
FedRSClip: Federated Learning for Remote Sensing Scene Classification Using Vision-Language Models
RemoteTrimmer: Adaptive Structural Pruning for Remote Sensing Image Classification
Multisource Collaborative Domain Generalization for Cross-Scene Remote Sensing Image Classification
Cloud Adversarial Example Generation for Remote Sensing Image Classification
Onboard Satellite Image Classification for Earth Observation: A Comparative Study of ViT Models
Low Saturation Confidence Distribution-based Test-Time Adaptation for Cross-Domain Remote Sensing Image Classification
MSFMamba: Multi-Scale Feature Fusion State Space Model for Multi-Source Remote Sensing Image Classification
Quanv4EO: Empowering Earth Observation by means of Quanvolutional Neural Networks
Transformer-based Federated Learning for Multi-Label Remote Sensing Image Classification
A Label Propagation Strategy for CutMix in Multi-Label Remote Sensing Image Classification
SOAR: Advancements in Small Body Object Detection for Aerial Imagery Using State Space Models and Programmable Gradients
Achieving Rotation Invariance in Convolution Operations: Shifting from Data-Driven to Mechanism-Assured
FlightScope: An Experimental Comparative Review of Aircraft Detection Algorithms in Satellite Imagery
RSMamba: Remote Sensing Image Classification with State Space Model
Leveraging feature communication in federated learning for remote sensing image classification
ViGEO: an Assessment of Vision GNNs in Earth Observation
On the Promises and Challenges of Multimodal Foundation Models for Geographical, Environmental, Agricultural, and Urban Planning Applications
Learning transformer-based heterogeneously salient graph representation for multimodal remote sensing image classification
Federated Learning Across Decentralized and Unshared Archives for Remote Sensing Image Classification
SS-MAE: Spatial-Spectral Masked Auto-Encoder for Multi-Source Remote Sensing Image Classification
FedSN: A Federated Learning Framework over Heterogeneous LEO Satellite Networks
A Novel Multi-scale Attention Feature Extraction Block for Aerial Remote Sensing Image Classification
DGCNet: An Efficient 3D-Densenet based on Dynamic Group Convolution for Hyperspectral Remote Sensing Image Classification
In-Domain Self-Supervised Learning Improves Remote Sensing Image Scene Classification
Sphere2Vec: A General-Purpose Location Representation Learning over a Spherical Surface for Large-Scale Geospatial Predictions
Quantitative Analysis of Primary Attribution Explainable Artificial Intelligence Methods for Remote Sensing Image Classification
Transformer-based Multi-Modal Learning for Multi Label Remote Sensing Image Classification
Nearest Neighbor Based Out-of-Distribution Detection in Remote Sensing Scene Classification
MMFormer: Multimodal Transformer Using Multiscale Self-Attention for Remote Sensing Image Classification
FireRisk: A Remote Sensing Dataset for Fire Risk Assessment with Benchmarks Using Supervised and Self-supervised Learning
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