Copertina

Explaining raw data complexity to improve satellite onboard processing

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Dorise, Adrien, Bellizzi, Marjorie, Girard, Adrien, Francesconi, Benjamin, May, Stéphane
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computer Vision and Pattern Recognition Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Rethinking Satellite Image Restoration for Onboard AI: A Lightweight Learning-Based Approach
di: Dorise, Adrien, et al.
Pubblicazione: (2026)

Explaining an image classifier with a generative model conditioned by uncertainty
di: LeCoz, Adrien, et al.
Pubblicazione: (2024)

Efficient Exploration of Image Classifier Failures with Bayesian Optimization and Text-to-Image Models
di: LeCoz, Adrien, et al.
Pubblicazione: (2024)

Contrastive-Based Deep Embeddings for Label Noise-Resilient Histopathology Image Classification
di: Dedieu, Lucas, et al.
Pubblicazione: (2024)

WildLive: Near Real-time Visual Wildlife Tracking onboard UAVs
di: Dat, Nguyen Ngoc, et al.
Pubblicazione: (2025)

Towards Efficient Benchmarking of Foundation Models in Remote Sensing: A Capabilities Encoding Approach
di: Adorni, Pierre, et al.
Pubblicazione: (2025)

Multi-domain performance analysis with scores tailored to user preferences
di: Piérard, Sébastien, et al.
Pubblicazione: (2025)

What Is the Optimal Ranking Score Between Precision and Recall? We Can Always Find It and It Is Rarely $F_1$
di: Piérard, Sébastien, et al.
Pubblicazione: (2025)

DeepJIVE: Learning Joint and Individual Variation Explained from Multimodal Data Using Deep Learning
di: Drexler, Matthew, et al.
Pubblicazione: (2025)

Intuitive physics understanding emerges from self-supervised pretraining on natural videos
di: Garrido, Quentin, et al.
Pubblicazione: (2025)

RT-DETRv2 Explained in 8 Illustrations
di: Chua, Ethan Qi Yang, et al.
Pubblicazione: (2025)

On Explaining Visual Captioning with Hybrid Markov Logic Networks
di: Shah, Monika, et al.
Pubblicazione: (2025)

Explaining 3D Computed Tomography Classifiers with Counterfactuals
di: Cohen, Joseph Paul, et al.
Pubblicazione: (2025)

Explaining Human Comparisons using Alignment-Importance Heatmaps
di: Truong, Nhut, et al.
Pubblicazione: (2024)

Star-Fusion: A Multi-modal Transformer Architecture for Discrete Celestial Orientation via Spherical Topology
di: Hammad, May, et al.
Pubblicazione: (2026)

Explaining generative diffusion models via visual analysis for interpretable decision-making process
di: Park, Ji-Hoon, et al.
Pubblicazione: (2024)

Envisioning global urban development with satellite imagery and generative AI
di: Sun, Kailai, et al.
Pubblicazione: (2026)

Sparks of Explainability: Recent Advancements in Explaining Large Vision Models
di: Fel, Thomas
Pubblicazione: (2025)

P-TAME: Explain Any Image Classifier with Trained Perturbations
di: Ntrougkas, Mariano V., et al.
Pubblicazione: (2025)

Explaining multimodal LLMs via intra-modal token interactions
di: Liang, Jiawei, et al.
Pubblicazione: (2025)

Explaining How Visual, Textual and Multimodal Encoders Share Concepts
di: Cornet, Clément, et al.
Pubblicazione: (2025)

Med-CAM: Minimal Evidence for Explaining Medical Decision Making
di: Suhail, Pirzada, et al.
Pubblicazione: (2026)

VerLM: Explaining Face Verification Using Natural Language
di: Hannan, Syed Abdul, et al.
Pubblicazione: (2026)

Language Models Can Explain Visual Features via Steering
di: Ferrando, Javier, et al.
Pubblicazione: (2026)

Learning and Leveraging World Models in Visual Representation Learning
di: Garrido, Quentin, et al.
Pubblicazione: (2024)

NeRF-MAE: Masked AutoEncoders for Self-Supervised 3D Representation Learning for Neural Radiance Fields
di: Irshad, Muhammad Zubair, et al.
Pubblicazione: (2024)

Explain Before You Answer: A Survey on Compositional Visual Reasoning
di: Ke, Fucai, et al.
Pubblicazione: (2025)

Explaining Multi-modal Large Language Models by Analyzing their Vision Perception
di: Giulivi, Loris, et al.
Pubblicazione: (2024)

Improving the Explain-Any-Concept by Introducing Nonlinearity to the Trainable Surrogate Model
di: Zaval, Mounes, et al.
Pubblicazione: (2024)

Deep Learning-Enabled Dissolved Oxygen Sensing in Biofouling Environments for Ocean Monitoring
di: Salaris, Nikolaos, et al.
Pubblicazione: (2026)

Concept Visualization: Explaining the CLIP Multi-modal Embedding Using WordNet
di: Giulivi, Loris, et al.
Pubblicazione: (2024)

CoProNN: Concept-based Prototypical Nearest Neighbors for Explaining Vision Models
di: Chiaburu, Teodor, et al.
Pubblicazione: (2024)

Class-specific diffusion models improve military object detection in a low-data domain
di: Fokkinga, Ella P., et al.
Pubblicazione: (2026)

Individual mapping of large polymorphic shrubs in high mountains using satellite images and deep learning
di: Khaldi, Rohaifa, et al.
Pubblicazione: (2024)

GloSoFarID: Global multispectral dataset for Solar Farm IDentification in satellite imagery
di: Yang, Zhiyuan, et al.
Pubblicazione: (2024)

Leveraging generative models to characterize the failure conditions of image classifiers
di: LeCoz, Adrien, et al.
Pubblicazione: (2024)

Contrastive Integrated Gradients: A Feature Attribution-Based Method for Explaining Whole Slide Image Classification
di: Vu, Anh Mai, et al.
Pubblicazione: (2025)

Explaining Bayesian Neural Networks
di: Bykov, Kirill, et al.
Pubblicazione: (2021)

Wetland mapping from sparse annotations with satellite image time series and temporal-aware segment anything model
di: Yuan, Shuai, et al.
Pubblicazione: (2026)

Understanding Video Transformers via Universal Concept Discovery
di: Kowal, Matthew, et al.
Pubblicazione: (2024)