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Remote Sensing

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논문

이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.

MVNet: Hyperspectral Remote Sensing Image Classification Based on Hybrid Mamba-Transformer Vision Backbone Architecture

A Semantic Change Detection Network Based on Boundary Detection and Task Interaction for High-Resolution Remote Sensing Images

Remote Sensing Image Classification with Decoupled Knowledge Distillation

ClassWise-CRF: Category-Specific Fusion for Enhanced Semantic Segmentation of Remote Sensing Imagery

SAIP-Net: Enhancing Remote Sensing Image Segmentation via Spectral Adaptive Information Propagation

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

BRIGHT: A globally distributed multimodal building damage assessment dataset with very-high-resolution for all-weather disaster response

FedRSClip: Federated Learning for Remote Sensing Scene Classification Using Vision-Language Models

RemoteTrimmer: Adaptive Structural Pruning for Remote Sensing Image Classification

Pix2Poly: A Sequence Prediction Method for End-to-end Polygonal Building Footprint Extraction from Remote Sensing Imagery

Multisource Collaborative Domain Generalization for Cross-Scene Remote Sensing Image Classification

Deep Multimodal Fusion for Semantic Segmentation of Remote Sensing Earth Observation Data

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

UNetMamba: An Efficient UNet-Like Mamba for Semantic Segmentation of High-Resolution Remote Sensing Images

Quanv4EO: Empowering Earth Observation by means of Quanvolutional Neural Networks

PolyR-CNN: R-CNN for end-to-end polygonal building outline extraction

LOGCAN++: Adaptive Local-global class-aware network for semantic segmentation of remote sensing imagery

PyramidMamba: Rethinking Pyramid Feature Fusion with Selective Space State Model for Semantic Segmentation of Remote Sensing Imagery

SRC-Net: Bi-Temporal Spatial Relationship Concerned Network for Change Detection

Towards Automating the Retrospective Generation of BIM Models: A Unified Framework for 3D Semantic Reconstruction of the Built Environment

FMARS: Annotating Remote Sensing Images for Disaster Management using Foundation Models

Transformer-based Federated Learning for Multi-Label Remote Sensing Image Classification

A Label Propagation Strategy for CutMix in Multi-Label Remote Sensing Image Classification

Rethinking Scanning Strategies with Vision Mamba in Semantic Segmentation of Remote Sensing Imagery: An Experimental Study

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

RS-Mamba for Large Remote Sensing Image Dense Prediction

FlightScope: An Experimental Comparative Review of Aircraft Detection Algorithms in Satellite Imagery

RSMamba: Remote Sensing Image Classification with State Space Model

MTP: Advancing Remote Sensing Foundation Model via Multi-Task Pretraining

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.