Copertina

Mission Critical -- Satellite Data is a Distinct Modality in Machine Learning

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Rolf, Esther, Klemmer, Konstantin, Robinson, Caleb, Kerner, Hannah
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Machine Learning Artificial Intelligence Computer Vision and Pattern Recognition
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

SatCLIP: Global, General-Purpose Location Embeddings with Satellite Imagery
di: Klemmer, Konstantin, et al.
Pubblicazione: (2023)

Fields of The World: A Machine Learning Benchmark Dataset For Global Agricultural Field Boundary Segmentation
di: Kerner, Hannah, et al.
Pubblicazione: (2024)

How Does the Spatial Distribution of Pre-training Data Affect Geospatial Foundation Models?
di: Purohit, Mirali, et al.
Pubblicazione: (2025)

Pretrain Where? Investigating How Pretraining Data Diversity Impacts Geospatial Foundation Model Performance
di: Kaur, Amandeep, et al.
Pubblicazione: (2026)

Using Multiple Input Modalities Can Improve Data-Efficiency and O.O.D. Generalization for ML with Satellite Imagery
di: Rao, Arjun, et al.
Pubblicazione: (2025)

Multi-Region Transfer Learning for Segmentation of Crop Field Boundaries in Satellite Images with Limited Labels
di: Kerner, Hannah, et al.
Pubblicazione: (2024)

Contrasting local and global modeling with machine learning and satellite data: A case study estimating tree canopy height in African savannas
di: Rolf, Esther, et al.
Pubblicazione: (2024)

Mars-Bench: A Benchmark for Evaluating Foundation Models for Mars Science Tasks
di: Purohit, Mirali, et al.
Pubblicazione: (2025)

Classification Drives Geographic Bias in Street Scene Segmentation
di: Nair, Rahul, et al.
Pubblicazione: (2024)

Connect, Collapse, Corrupt: Learning Cross-Modal Tasks with Uni-Modal Data
di: Zhang, Yuhui, et al.
Pubblicazione: (2024)

MOMO: Mars Orbital Model Foundation Model for Mars Orbital Applications
di: Purohit, Mirali, et al.
Pubblicazione: (2026)

Satellite-Based Detection of Looted Archaeological Sites Using Machine Learning
di: Tadesse, Girmaw Abebe, et al.
Pubblicazione: (2026)

Distribution Shifts at Scale: Out-of-distribution Detection in Earth Observation
di: Ekim, Burak, et al.
Pubblicazione: (2024)

Beyond Unimodal Learning: The Importance of Integrating Multiple Modalities for Lifelong Learning
di: Sarfraz, Fahad, et al.
Pubblicazione: (2024)

Multimodal Pathway: Improve Transformers with Irrelevant Data from Other Modalities
di: Zhang, Yiyuan, et al.
Pubblicazione: (2024)

ATLAS: Adapter-Based Multi-Modal Continual Learning with a Two-Stage Learning Strategy
di: Li, Hong, et al.
Pubblicazione: (2024)

Explaining and Mitigating the Modality Gap in Contrastive Multimodal Learning
di: Yaras, Can, et al.
Pubblicazione: (2024)

Deep Multimodal Learning with Missing Modality: A Survey
di: Wu, Renjie, et al.
Pubblicazione: (2024)

Multi-modal Machine Learning for Vehicle Rating Predictions Using Image, Text, and Parametric Data
di: Su, Hanqi, et al.
Pubblicazione: (2023)

A Comprehensive Review of Machine Learning Advances on Data Change: A Cross-Field Perspective
di: Li, Jeng-Lin, et al.
Pubblicazione: (2024)

Learning to See More: UAS-Guided Super-Resolution of Satellite Imagery for Precision Agriculture
di: Masrur, Arif, et al.
Pubblicazione: (2025)

Using Game Engines and Machine Learning to Create Synthetic Satellite Imagery for a Tabletop Verification Exercise
di: Hoster, Johannes, et al.
Pubblicazione: (2024)

AmCLR: Unified Augmented Learning for Cross-Modal Representations
di: Jagannath, Ajay, et al.
Pubblicazione: (2024)

CLoE: Expert Consistency Learning for Missing Modality Segmentation
di: Tong, Xinyu, et al.
Pubblicazione: (2026)

Robust Multimodal Learning via Cross-Modal Proxy Tokens
di: Reza, Md Kaykobad, et al.
Pubblicazione: (2025)

Machine Learning for Scientific Visualization: Ensemble Data Analysis
di: Gadirov, Hamid
Pubblicazione: (2025)

A Woman with a Knife or A Knife with a Woman? Measuring Directional Bias Amplification in Image Captions
di: Nair, Rahul, et al.
Pubblicazione: (2025)

Machine Unlearning in the Era of Quantum Machine Learning: An Empirical Study
di: Crivoi, Carla, et al.
Pubblicazione: (2025)

Multi-Modal Multi-Agent Reinforcement Learning for Radiology Report Generation
di: Baba, Kaito, et al.
Pubblicazione: (2026)

Robult: Leveraging Redundancy and Modality Specific Features for Robust Multimodal Learning
di: Nguyen, Duy A., et al.
Pubblicazione: (2025)

MMEarth: Exploring Multi-Modal Pretext Tasks For Geospatial Representation Learning
di: Nedungadi, Vishal, et al.
Pubblicazione: (2024)

Multi-Level Feature Distillation of Joint Teachers Trained on Distinct Image Datasets
di: Iordache, Adrian, et al.
Pubblicazione: (2024)

Evaluating Fairness and Mitigating Bias in Machine Learning: A Novel Technique using Tensor Data and Bayesian Regression
di: Paxton, Kuniko, et al.
Pubblicazione: (2025)

Long-Range Biometric Identification in Real World Scenarios: A Comprehensive Evaluation Framework Based on Missions
di: Aykac, Deniz, et al.
Pubblicazione: (2024)

Spatiotemporal Air Quality Mapping in Urban Areas Using Sparse Sensor Data, Satellite Imagery, Meteorological Factors, and Spatial Features
di: Ahmad, Osama, et al.
Pubblicazione: (2025)

EgoBabyVLM: Benchmarking Cross-Modal Learning from Naturalistic Egocentric Video Data
di: Lin, Dongyan, et al.
Pubblicazione: (2026)

Towards Automated Machine Learning Research
di: Ardeshir, Shervin
Pubblicazione: (2024)

Tiny Machine Learning: Progress and Futures
di: Lin, Ji, et al.
Pubblicazione: (2024)

Harmonic Machine Learning Models are Robust
di: Kersting, Nicholas S., et al.
Pubblicazione: (2024)

Towards Equitable ASD Diagnostics: A Comparative Study of Machine and Deep Learning Models Using Behavioral and Facial Data
di: Aledhari, Mohammed, et al.
Pubblicazione: (2024)