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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 7 of their papers we have counts for

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Showing 2024Show all

3 papers · 1 filter

cs.CV2024

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…

cs.CV2024

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…

cs.CV2024

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…