Cover Image

A Novel Technique for Robust Training of Deep Networks With Multisource Weak Labeled Remote Sensing Data

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Perantoni, Gianmarco, Bruzzone, Lorenzo
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Adaptive Gradient Calibration for Single-Positive Multi-Label Learning in Remote Sensing Image Scene Classification
by: Liu, Chenying, et al.
Published: (2025)

A deep multiple instance learning approach based on coarse labels for high-resolution land-cover mapping
by: Perantoni, Gianmarco, et al.
Published: (2025)

Bayesian Modelling of Multi-Year Crop Type Classification Using Deep Neural Networks and Hidden Markov Models
by: Perantoni, Gianmarco, et al.
Published: (2025)

A class-driven hierarchical ResNet for classification of multispectral remote sensing images
by: Weikmann, Giulio, et al.
Published: (2025)

A Hierarchical Self-Consistent Regularization Approach to Satellite Image Time Series Classification
by: Weikmann, Giulio, et al.
Published: (2025)

A Spatial-Spectral-Frequency Interactive Network for Multimodal Remote Sensing Classification
by: Liu, Hao, et al.
Published: (2025)

Balanced Diffusion-Guided Fusion for Multimodal Remote Sensing Classification
by: Liu, Hao, et al.
Published: (2025)

Joint Spatio-Temporal Modeling for the Semantic Change Detection in Remote Sensing Images
by: Ding, Lei, et al.
Published: (2022)

Adapting Segment Anything Model for Change Detection in HR Remote Sensing Images
by: Ding, Lei, et al.
Published: (2023)

A Survey of Sample-Efficient Deep Learning for Change Detection in Remote Sensing: Tasks, Strategies, and Challenges
by: Ding, Lei, et al.
Published: (2025)

S2C: Learning Noise-Resistant Differences for Unsupervised Change Detection in Multimodal Remote Sensing Images
by: Ding, Lei, et al.
Published: (2025)

A Robust Multisource Remote Sensing Image Matching Method Utilizing Attention and Feature Enhancement Against Noise Interference
by: Li, Yuan, et al.
Published: (2024)

Multisource Collaborative Domain Generalization for Cross-Scene Remote Sensing Image Classification
by: Han, Zhu, et al.
Published: (2024)

Hyperspectral data augmentation with transformer-based diffusion models
by: Ferrari, Mattia, et al.
Published: (2025)

Efficient Multi-Resolution Fusion for Remote Sensing Data with Label Uncertainty
by: Vakharia, Hersh, et al.
Published: (2024)

Leveraging Convolutional and Graph Networks for an Unsupervised Remote Sensing Labelling Tool
by: Patel, Tulsi, et al.
Published: (2025)

Detection of Bark Beetle Attacks using Hyperspectral PRISMA Data and Few-Shot Learning
by: Ferrari, Mattia, et al.
Published: (2025)

OBSUM: An object-based spatial unmixing model for spatiotemporal fusion of remote sensing images
by: Guo, Houcai, et al.
Published: (2023)

FusDreamer: Label-efficient Remote Sensing World Model for Multimodal Data Classification
by: Wang, Jinping, et al.
Published: (2025)

Data-Centric Benchmark for Label Noise Estimation and Ranking in Remote Sensing Image Segmentation
by: Nogueira, Keiller, et al.
Published: (2026)

Utilizing a Novel Deep Learning Method for Scene Categorization in Remote Sensing Data
by: Omran, Ghufran A., et al.
Published: (2025)

Dynamic Loss Decay based Robust Oriented Object Detection on Remote Sensing Images with Noisy Labels
by: Liu, Guozhang, et al.
Published: (2024)

A Label Propagation Strategy for CutMix in Multi-Label Remote Sensing Image Classification
by: Burgert, Tom, et al.
Published: (2024)

Noise-Adaptive Regularization for Robust Multi-Label Remote Sensing Image Classification
by: Burgert, Tom, et al.
Published: (2026)

NSegment : Label-specific Deformations for Remote Sensing Image Segmentation
by: Kim, Yechan, et al.
Published: (2025)

Contributions to Label-Efficient Learning in Computer Vision and Remote Sensing
by: Pham, Minh-Tan
Published: (2025)

Remote Sensing Image Classification Using Convolutional Neural Network (CNN) and Transfer Learning Techniques
by: Zaid, Mustafa Majeed Abd, et al.
Published: (2025)

AIO2: Online Correction of Object Labels for Deep Learning with Incomplete Annotation in Remote Sensing Image Segmentation
by: Liu, Chenying, et al.
Published: (2024)

Modeling and Measuring Redundancy in Multisource Multimodal Data for Autonomous Driving
by: Zhou, Yuhan, et al.
Published: (2026)

Deep Multimodal Fusion for Semantic Segmentation of Remote Sensing Earth Observation Data
by: Dimitrovski, Ivica, et al.
Published: (2024)

Task Specific Pretraining with Noisy Labels for Remote Sensing Image Segmentation
by: Liu, Chenying, et al.
Published: (2024)

Vision Mamba in Remote Sensing: A Comprehensive Survey of Techniques, Applications and Outlook
by: Bao, Muyi, et al.
Published: (2025)

CoMiX: Cross-Modal Fusion with Deformable Convolutions for HSI-X Semantic Segmentation
by: Zhang, Xuming, et al.
Published: (2024)

Multilingual Training-Free Remote Sensing Image Captioning
by: Rebelo, Carlos, et al.
Published: (2025)

IPMix: Label-Preserving Data Augmentation Method for Training Robust Classifiers
by: Huang, Zhenglin, et al.
Published: (2023)

LiDAR Remote Sensing Meets Weak Supervision: Concepts, Methods, and Perspectives
by: Gao, Yuan, et al.
Published: (2025)

Cross-Modal Spherical Aggregation for Weakly Supervised Remote Sensing Shadow Removal
by: Chi, Kaichen, et al.
Published: (2024)

Spectral Image Data Fusion for Multisource Data Augmentation
by: Luca, Roberta Iuliana, et al.
Published: (2024)

MARC: Multi-Label Adaptive Retrieval Contrastive Loss for Remote Sensing Images
by: Amir, Amna, et al.
Published: (2025)

SAM2-ELNet: Label Enhancement and Automatic Annotation for Remote Sensing Segmentation
by: Yang, Jianhao, et al.
Published: (2025)