Cover Image

Label-Efficient School Detection from Aerial Imagery via Weakly Supervised Pretraining and Fine-Tuning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Elmimouni, Zakarya, Fourati, Fares, Alouini, Mohamed-Slim
Format:	Preprint
Published:	2026
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

ECPv2: Fast, Efficient, and Scalable Global Optimization of Lipschitz Functions
by: Fourati, Fares, et al.
Published: (2025)

Stochastic Q-learning for Large Discrete Action Spaces
by: Fourati, Fares, et al.
Published: (2024)

Federated Combinatorial Multi-Agent Multi-Armed Bandits
by: Fourati, Fares, et al.
Published: (2024)

Weakly Supervised Pretraining and Multi-Annotator Supervised Finetuning for Facial Wrinkle Detection
by: Moon, Ik Jun, et al.
Published: (2024)

Retrieval-Augmented Generation for Reliable Interpretation of Radio Regulations
by: Kassimi, Zakaria El, et al.
Published: (2025)

Every Call is Precious: Global Optimization of Black-Box Functions with Unknown Lipschitz Constants
by: Fourati, Fares, et al.
Published: (2025)

Subimage Overlap Prediction: Task-Aligned Self-Supervised Pretraining For Semantic Segmentation In Remote Sensing Imagery
by: Sharma, Lakshay, et al.
Published: (2026)

Facial Wrinkle Segmentation for Cosmetic Dermatology: Pretraining with Texture Map-Based Weak Supervision
by: Moon, Junho, et al.
Published: (2024)

Self-Supervised Pretraining on Satellite Imagery: a Case Study on Label-Efficient Vehicle Detection
by: BOURCIER, Jules, et al.
Published: (2022)

Contextual Hourglass Network for Semantic Segmentation of High Resolution Aerial Imagery
by: Li, Panfeng, et al.
Published: (2018)

FilFL: Client Filtering for Optimized Client Participation in Federated Learning
by: Fourati, Fares, et al.
Published: (2023)

Label-free Anomaly Detection in Aerial Agricultural Images with Masked Image Modeling
by: Shikhar, Sambal, et al.
Published: (2024)

Parameter-Efficient Fine-Tuning of Large Pretrained Models for Instance Segmentation Tasks
by: Baker, Nermeen Abou, et al.
Published: (2026)

Robust Fine-Tuning from Non-Robust Pretrained Models: Mitigating Suboptimal Transfer With Epsilon-Scheduling
by: Ngnawé, Jonas, et al.
Published: (2025)

Siamese Networks with Soft Labels for Unsupervised Lesion Detection and Patch Pretraining on Screening Mammograms
by: Van Vorst, Kevin, et al.
Published: (2024)

Robust Disaster Assessment from Aerial Imagery Using Text-to-Image Synthetic Data
by: Kalluri, Tarun, et al.
Published: (2024)

Peer-Ranked Precision: Creating a Foundational Dataset for Fine-Tuning Vision Models from DataSeeds' Annotated Imagery
by: Abdoli, Sajjad, et al.
Published: (2025)

On Pretraining Data Diversity for Self-Supervised Learning
by: Hammoud, Hasan Abed Al Kader, et al.
Published: (2024)

Fine-Tuning is Fine, if Calibrated
by: Mai, Zheda, et al.
Published: (2024)

A Parameter-efficient Convolutional Approach for Weed Detection in Multispectral Aerial Imagery
by: Ramos, Leo Thomas, et al.
Published: (2026)

Learning Semantic Segmentation with Query Points Supervision on Aerial Images
by: Rivier, Santiago, et al.
Published: (2023)

Bridging Weakly-Supervised Learning and VLM Distillation: Noisy Partial Label Learning for Efficient Downstream Adaptation
by: Wang, Qian-Wei, et al.
Published: (2025)

Remote Sensing Change Detection via Weak Temporal Supervision
by: Bou, Xavier, et al.
Published: (2026)

LAPT: Label-driven Automated Prompt Tuning for OOD Detection with Vision-Language Models
by: Zhang, Yabin, et al.
Published: (2024)

CERSA: Cumulative Energy-Retaining Subspace Adaptation for Memory-Efficient Fine-Tuning
by: Ge, Jingze, et al.
Published: (2026)

Beyond Generation: Unlocking Universal Editing via Self-Supervised Fine-Tuning
by: Chen, Harold Haodong, et al.
Published: (2024)

Weakly-Supervised Spatiotemporal Anomaly Detection
by: Gianchandani, Urvi, et al.
Published: (2026)

Fine-grained Background Representation for Weakly Supervised Semantic Segmentation
by: Yin, Xu, et al.
Published: (2024)

From Theory to Decision Rule: Calibrating the Noisy-Label Crossover for Vision-Language Model Weak Supervision Across Three Medical-Imaging Benchmarks
by: Xu, Bruce Changlong, et al.
Published: (2026)

Weakly Supervised Framework Considering Multi-temporal Information for Large-scale Cropland Mapping with Satellite Imagery
by: Wang, Yuze, et al.
Published: (2024)

A Coherence-Based Measure of AGI
by: Fourati, Fares
Published: (2025)

Confounder-Aware Medical Data Selection for Fine-Tuning Pretrained Vision Models
by: Ji, Anyang, et al.
Published: (2025)

Point-PEFT: Parameter-Efficient Fine-Tuning for 3D Pre-trained Models
by: Tang, Yiwen, et al.
Published: (2023)

RoaD: Rollouts as Demonstrations for Closed-Loop Supervised Fine-Tuning of Autonomous Driving Policies
by: Garcia-Cobo, Guillermo, et al.
Published: (2025)

GoldiCLIP: The Goldilocks Approach for Balancing Explicit Supervision for Language-Image Pretraining
by: Mohan, Deen Dayal, et al.
Published: (2026)

Improving Weakly-Supervised Object Localization Using Adversarial Erasing and Pseudo Label
by: Kang, Byeongkeun, et al.
Published: (2024)

Efficient Adversarial Training via Criticality-Aware Fine-Tuning
by: Li, Wenyun, et al.
Published: (2026)

FactoFormer: Factorized Hyperspectral Transformers with Self-Supervised Pretraining
by: Mohamed, Shaheer, et al.
Published: (2023)

CLEFT: Language-Image Contrastive Learning with Efficient Large Language Model and Prompt Fine-Tuning
by: Du, Yuexi, et al.
Published: (2024)

Entropy Bootstrapping for Weakly Supervised Nuclei Detection
by: Willoughby, James, et al.
Published: (2024)