Jan 20, 2022 · In this paper, a two-layer mobile federated learning model (TMFL) is proposed to protect data privacy and improve training efficiency.
Jul 22, 2020 · In this paper, we study how to make use of decentralized datasets for training a robust scene text recognizer while keeping them stay on local ...
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Two-layer Federated Learning for Scene Text Detection. 点击次数：. 发表刊物：2021 IEEE International Performance, Computing, and Communications Conference ...
To the best of our knowledge, we propose the first framework leveraging federated learning for scene text recognition, which is trained with decentralized ...
In this article, a FL approach is applied for remote sensing scene classification for the first time. The adopted approach uses three different RS datasets ...
The simulations on decentralized datasets show that the proposed FedOCR achieves competitive results to the models that are trained with centralized data, with ...
Feb 7, 2024 · The proposed model is trained on two large-scale synthetic datasets, Synthetic Text 90k and Synthetic Text, without fine-tuning on other ...
Missing: Detection. | Show results with:Detection.
This context-aware distributed learning mechanism is developed and applied to address intelligent object detection, which is one of the most critical challenges ...
Dec 12, 2023 · The proposed method is evaluated using a text recognition task on public benchmarks, as well as a binary classification task on two datasets, ...
Missing: Detection. | Show results with:Detection.
Robust Scene Text Detection and Recognition: Introduction
developer.nvidia.com › blog › robust-sce...
Jan 16, 2024 · Identification and recognition of text from natural scenes and images become important for use cases like video caption text recognition…