Image de couverture de livre

A Semantic Segmentation-guided Approach for Ground-to-Aerial Image Matching

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Pro, Francesco, Dionelis, Nikolaos, Maiano, Luca, Saux, Bertrand Le, Amerini, Irene
Format:	Preprint
Publié:	2024
Sujets:	Computer Vision and Pattern Recognition Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Learning from Unlabelled Data with Transformers: Domain Adaptation for Semantic Segmentation of High Resolution Aerial Images
par: Dionelis, Nikolaos, et autres
Publié: (2024)

Enhancing Ground-to-Aerial Image Matching for Visual Misinformation Detection Using Semantic Segmentation
par: Mule, Emanuele, et autres
Publié: (2025)

PhilEO Bench: Evaluating Geo-Spatial Foundation Models
par: Fibaek, Casper, et autres
Publié: (2024)

Evaluating and Benchmarking Foundation Models for Earth Observation and Geospatial AI
par: Dionelis, Nikolaos, et autres
Publié: (2024)

Improving EO Foundation Models with Confidence Assessment for enhanced Semantic segmentation
par: Dionelis, Nikolaos, et autres
Publié: (2024)

Continuous fake media detection: adapting deepfake detectors to new generative techniques
par: Tassone, Francesco, et autres
Publié: (2024)

VidCLearn: A Continual Learning Approach for Text-to-Video Generation
par: Zanchetta, Luca, et autres
Publié: (2025)

Z-SASLM: Zero-Shot Style-Aligned SLI Blending Latent Manipulation
par: Borgi, Alessio, et autres
Publié: (2025)

Enhancing Abnormality Identification: Robust Out-of-Distribution Strategies for Deepfake Detection
par: Maiano, Luca, et autres
Publié: (2025)

DepthFake: a depth-based strategy for detecting Deepfake videos
par: Maiano, Luca, et autres
Publié: (2022)

CARE: Confidence-Aware Regression Estimation of building density fine-tuning EO Foundation Models
par: Dionelis, Nikolaos, et autres
Publié: (2025)

Diffusion Models for Earth Observation Use-cases: from cloud removal to urban change detection
par: Sanguigni, Fulvio, et autres
Publié: (2023)

Learning Semantic Segmentation with Query Points Supervision on Aerial Images
par: Rivier, Santiago, et autres
Publié: (2023)

Robust CLIP-Based Detector for Exposing Diffusion Model-Generated Images
par: Santosh, et autres
Publié: (2024)

Conformal Semantic Image Segmentation: Post-hoc Quantification of Predictive Uncertainty
par: Mossina, Luca, et autres
Publié: (2024)

Semantic-aware Random Convolution and Source Matching for Domain Generalization in Medical Image Segmentation
par: Thaler, Franz, et autres
Publié: (2025)

Explaining Vision GNNs: A Semantic and Visual Analysis of Graph-based Image Classification
par: Chaidos, Nikolaos, et autres
Publié: (2025)

Medical Image Spatial Grounding with Semantic Sampling
par: Yu, Andrew Seohwan, et autres
Publié: (2026)

Two Deep Learning Approaches for Automated Segmentation of Left Ventricle in Cine Cardiac MRI
par: Chu, Wenhui, et autres
Publié: (2026)

FRACTAL: An Ultra-Large-Scale Aerial Lidar Dataset for 3D Semantic Segmentation of Diverse Landscapes
par: Gaydon, Charles, et autres
Publié: (2024)

3D Semantic Segmentation for Post-Disaster Assessment
par: Le, Nhut, et autres
Publié: (2025)

Evaluation of Deep Learning Semantic Segmentation for Land Cover Mapping on Multispectral, Hyperspectral and High Spatial Aerial Imagery
par: Panuntun, Ilham Adi, et autres
Publié: (2024)

OMH: Structured Sparsity via Optimally Matched Hierarchy for Unsupervised Semantic Segmentation
par: Ozaydin, Baran, et autres
Publié: (2024)

Contextual Hourglass Network for Semantic Segmentation of High Resolution Aerial Imagery
par: Li, Panfeng, et autres
Publié: (2018)

Scaling Laws for Geospatial Foundation Models: A case study on PhilEO Bench
par: Dionelis, Nikolaos, et autres
Publié: (2025)

Object Detection in Thermal Images Using Deep Learning for Unmanned Aerial Vehicles
par: Tu, Minh Dang, et autres
Publié: (2024)

Integrating Background Knowledge in Medical Semantic Segmentation with Logic Tensor Networks
par: Bergamin, Luca, et autres
Publié: (2025)

Towards Reliable Evaluation and Fast Training of Robust Semantic Segmentation Models
par: Croce, Francesco, et autres
Publié: (2023)

Conformal Prediction for Image Segmentation Using Morphological Prediction Sets
par: Mossina, Luca, et autres
Publié: (2025)

Controlling False Positives in Image Segmentation via Conformal Prediction
par: Mossina, Luca, et autres
Publié: (2025)

SOOD-ImageNet: a Large-Scale Dataset for Semantic Out-Of-Distribution Image Classification and Semantic Segmentation
par: Bacchin, Alberto, et autres
Publié: (2024)

R3ST: A Synthetic 3D Dataset With Realistic Trajectories
par: Teglia, Simone, et autres
Publié: (2025)

MTFlow: Time-Conditioned Flow Matching for Microtubule Segmentation in Noisy Microscopy Images
par: Moctar, Sidi Mohamed Sid El, et autres
Publié: (2026)

Semantic Communication based on Generative AI: A New Approach to Image Compression and Edge Optimization
par: Pezone, Francesco
Publié: (2025)

Diffusion-Based Data Augmentation for Medical Image Segmentation
par: Nazir, Maham, et autres
Publié: (2025)

Edge-guided and Class-balanced Active Learning for Semantic Segmentation of Aerial Images
par: Shan, Lianlei, et autres
Publié: (2024)

OPTNet: Ordering Point Transformer Network for Post-disaster 3D Semantic Segmentation
par: Le, Nhut, et autres
Publié: (2026)

Match me if you can: Semi-Supervised Semantic Correspondence Learning with Unpaired Images
par: Kim, Jiwon, et autres
Publié: (2023)

UA-Net: Uncertainty-Aware Network for TRISO Image Semantic Segmentation
par: Lucke, Kyle, et autres
Publié: (2026)

Selective Masking based Self-Supervised Learning for Image Semantic Segmentation
par: Wang, Yuemin, et autres
Publié: (2025)