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Remote Sensing

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

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평가표

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보존된 평가 기록

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코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://git.tu-berlin.de/rsim/CCML

공식 코드

A Consensual Collaborative Learning Method for Remote Sensing Image Classification Under Noisy Multi-Labels

https://git.tu-berlin.de/rsim/RCML

공식 코드

Multi-Label Noise Robust Collaborative Learning for Remote Sensing Image Classification

https://github.com/1e12Leon/RemoteTrimmer

공식 코드

RemoteTrimmer: Adaptive Structural Pruning for Remote Sensing Image Classification

https://github.com/Chnja/SRCNet

공식 코드

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

https://github.com/GatorSense/DREN

공식 코드

Divergence Regulated Encoder Network for Joint Dimensionality Reduction and Classification

https://github.com/HeinzJiao/PolyR-CNN

공식 코드

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

https://github.com/Jakaria08/Filter_Enhance_Detect

공식 코드

Small-Object Detection in Remote Sensing Images with End-to-End Edge-Enhanced GAN and Object Detector Network

https://github.com/KyanChen/RSMamba

공식 코드

RSMamba: Remote Sensing Image Classification with State Space Model

https://github.com/Semanticity-Research/SRBIM

공식 코드

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

https://github.com/ShaneShen/BDANet-Building-Damage-Assessment

공식 코드

BDANet: Multiscale Convolutional Neural Network with Cross-directional Attention for Building Damage Assessment from Satellite Images

https://github.com/TUM-LMF/MTLCC

공식 코드

Convolutional LSTMs for Cloud-Robust Segmentation of Remote Sensing Imagery

https://github.com/WangLibo1995/GeoSeg

공식 코드

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

https://github.com/Z-Zheng/ChangeStar

공식 코드

Change is Everywhere: Single-Temporal Supervised Object Change Detection in Remote Sensing Imagery

https://github.com/Z-Zheng/FarSeg

공식 코드

Foreground-Aware Relation Network for Geospatial Object Segmentation in High Spatial Resolution Remote Sensing Imagery

https://github.com/andreacodegoni/tiny_model_4_cd

공식 코드

TINYCD: A (Not So) Deep Learning Model For Change Detection

https://github.com/ankurderia/mft

공식 코드

Multimodal Fusion Transformer for Remote Sensing Image Classification

https://github.com/avkskvl/das-f-model

공식 코드

A Diff-Attention Aware State Space Fusion Model for Remote Sensing Classification

https://github.com/biasvariancelabs/aitlas-arena

공식 코드

Current Trends in Deep Learning for Earth Observation: An Open-source Benchmark Arena for Image Classification

https://github.com/burakekim/MTL_homoscedastic_SRB

공식 코드

A Multi-Task Deep Learning Framework for Building Footprint Segmentation

https://github.com/charmonyshen/firerisk

공식 코드

FireRisk: A Remote Sensing Dataset for Fire Risk Assessment with Benchmarks Using Supervised and Self-supervised Learning

https://github.com/chenhongruixuan/bright

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

https://github.com/chnja/rdpnet

공식 코드

RDP-Net: Region Detail Preserving Network for Change Detection

https://github.com/czarmanu/deeplab-lakeice-webcams

공식 코드

Ice Monitoring in Swiss Lakes from Optical Satellites and Webcams using Machine Learning

https://github.com/czarmanu/photi-lakeice-dataset

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Ice Monitoring in Swiss Lakes from Optical Satellites and Webcams using Machine Learning

https://github.com/delair-ai/DISIR

공식 코드

DISIR: Deep Image Segmentation with Interactive Refinement

https://github.com/douglas2code/text2seg

공식 코드

Text2Seg: Remote Sensing Image Semantic Segmentation via Text-Guided Visual Foundation Models

https://github.com/enzezhu2001/unetmamba

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

https://github.com/f64051041/saras-net

공식 코드

SARAS-Net: Scale and Relation Aware Siamese Network for Change Detection

https://github.com/feevos/ceecnet

공식 코드

Looking for change? Roll the Dice and demand Attention

https://github.com/fitzpchao/bandon

공식 코드

Detecting Building Changes with Off-Nadir Aerial Images

https://github.com/fzmi/ubdd

공식 코드

Learning Efficient Unsupervised Satellite Image-based Building Damage Detection

https://github.com/henryjiepanli/uncertainty-aware-network

공식 코드

Building Extraction from Remote Sensing Images via an Uncertainty-Aware Network

https://github.com/justchenhao/BIT_CD

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Remote Sensing Image Change Detection with Transformers

https://github.com/kyle-one/signa

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Semantic Interleaving Global Channel Attention for Multilabel Remote Sensing Image Classification

https://github.com/lccol/vig-eo

공식 코드

ViGEO: an Assessment of Vision GNNs in Earth Observation

https://github.com/leeguandong/DGCNet-for-HSI

공식 코드

DGCNet: An Efficient 3D-Densenet based on Dynamic Group Convolution for Hyperspectral Remote Sensing Image Classification

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