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20232026
most citedData exploitation: multi-task learning of object detection and semantic segmentation on partially annotated data

2 citations · 2 across the 10 of their papers we have counts for

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cs.CV2026

Multi-Task Partially Supervised Learning for Super-Resolution and Semantic Segmentation on Earth Observation data

Hoàng-Ân Lê, Minh-Tan Pham, Solange Lemai-Chenevier +1

Super-resolution and semantic segmentation are known to benefit one another, especially in the Earth observation context. However, learning both tasks in a joint model often requir…

cs.CR2026

Leveraging Membership Inference Attacks for Privacy Measurement in Federated Learning for Remote Sensing Images

Anh-Kiet Duong, Petra Gomez-Krämer, Hoàng-Ân Lê +1

Federated Learning (FL) enables collaborative model training while keeping training data localized, allowing us to preserve privacy in various domains including remote sensing. How…