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Cloud Detection
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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Efficient FPGA-accelerated Convolutional Neural Networks for Cloud Detection on CubeSats
FlexiMo: A Flexible Remote Sensing Foundation Model
SpecTf: Transformers Enable Data-Driven Imaging Spectroscopy Cloud Detection
SatVision-TOA: A Geospatial Foundation Model for Coarse-Resolution All-Sky Remote Sensing Imagery
PGCS: Physical Law embedded Generative Cloud Synthesis in Remote Sensing Images
Unleashing the Potential of Mamba: Boosting a LiDAR 3D Sparse Detector by Using Cross-Model Knowledge Distillation
MistralBSM: Leveraging Mistral-7B for Vehicular Networks Misbehavior Detection
High-Resolution Cloud Detection Network
CloudSense: A Model for Cloud Type Identification using Machine Learning from Radar data
Machine Learning in Space: Surveying the Robustness of on-board ML models to Radiation
Deep Learning for In-Orbit Cloud Segmentation and Classification in Hyperspectral Satellite Data
RSAM-Seg: A SAM-based Approach with Prior Knowledge Integration for Remote Sensing Image Semantic Segmentation
BenchCloudVision: A Benchmark Analysis of Deep Learning Approaches for Cloud Detection and Segmentation in Remote Sensing Imagery
FAKEPCD: Fake Point Cloud Detection via Source Attribution
CLiSA: A Hierarchical Hybrid Transformer Model using Orthogonal Cross Attention for Satellite Image Cloud Segmentation
Creating and Leveraging a Synthetic Dataset of Cloud Optical Thickness Measures for Cloud Detection in MSI
Domain Adaptation for Satellite-Borne Hyperspectral Cloud Detection
Cloud Detection in Multispectral Satellite Images Using Support Vector Machines With Quantum Kernels
Optimizing Kernel-Target Alignment for cloud detection in multispectral satellite images
Squeezing nnU-Nets with Knowledge Distillation for On-Board Cloud Detection
SSL4EO-L: Datasets and Foundation Models for Landsat Imagery
CD-CTFM: A Lightweight CNN-Transformer Network for Remote Sensing Cloud Detection Fusing Multiscale Features
Hierarchical Adaptive Voxel-guided Sampling for Real-time Applications in Large-scale Point Clouds
Open-Vocabulary Point-Cloud Object Detection without 3D Annotation
PMAA: A Progressive Multi-scale Attention Autoencoder Model for High-performance Cloud Removal from Multi-temporal Satellite Imagery
Detecting Clouds in Multispectral Satellite Images Using Quantum-Kernel Support Vector Machines
MM811 Project Report: Cloud Detection and Removal in Satellite Images
Self-Configuring nnU-Nets Detect Clouds in Satellite Images
Common Corruption Robustness of Point Cloud Detectors: Benchmark and Enhancement
Rethinking Dimensionality Reduction in Grid-based 3D Object Detection
GraVoS: Voxel Selection for 3D Point-Cloud Detection
Open-Vocabulary 3D Detection via Image-level Class and Debiased Cross-modal Contrastive Learning
itKD: Interchange Transfer-based Knowledge Distillation for 3D Object Detection
Multiresolution Fully Convolutional Networks to detect Clouds and Snow through Optical Satellite Images
Cloud Removal from Satellite Images
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