2 citations · 2 across the 10 of their papers we have counts for
4 papers · 1 filter
Box for Mask and Mask for Box: weak losses for multi-task partially supervised learning
Hoàng-Ân Lê, Paul Berg, Minh-Tan Pham
Object detection and semantic segmentation are both scene understanding tasks yet they differ in data structure and information level. Object detection requires box coordinates for…
Leveraging knowledge distillation for partial multi-task learning from multiple remote sensing datasets
Hoàng-Ân Lê, Minh-Tan Pham
Partial multi-task learning where training examples are annotated for one of the target tasks is a promising idea in remote sensing as it allows combining datasets annotated for di…
Insight Into the Collocation of Multi-Source Satellite Imagery for Multi-Scale Vessel Detection
Tran-Vu La, Minh-Tan Pham, Marco Chini
Ship detection from satellite imagery using Deep Learning (DL) is an indispensable solution for maritime surveillance. However, applying DL models trained on one dataset to others…
Leveraging feature communication in federated learning for remote sensing image classification
Anh-Kiet Duong, Hoàng-Ân Lê, Minh-Tan Pham
In the realm of Federated Learning (FL) applied to remote sensing image classification, this study introduces and assesses several innovative communication strategies. Our explorat…