Search Results for author: Denis Coquenet

Found 8 papers, 7 papers with code

Leveraging Vision-Language Foundation Models for Fine-Grained Downstream Tasks

1 code implementation13 Jul 2023 Denis Coquenet, Clément Rambour, Emanuele Dalsasso, Nicolas Thome

Vision-language foundation models such as CLIP have shown impressive zero-shot performance on many tasks and datasets, especially thanks to their free-text inputs.

Attribute

Faster DAN: Multi-target Queries with Document Positional Encoding for End-to-end Handwritten Document Recognition

1 code implementation25 Jan 2023 Denis Coquenet, Clément Chatelain, Thierry Paquet

Recent advances in handwritten text recognition enabled to recognize whole documents in an end-to-end way: the Document Attention Network (DAN) recognizes the characters one after the other through an attention-based prediction process until reaching the end of the document.

Handwritten Document Recognition

Towards End-to-end Handwritten Document Recognition

1 code implementation30 Sep 2022 Denis Coquenet

We proposed an approach at the line level, based on a fully convolutional network, in order to design a first generic feature extraction step for the handwriting recognition task.

Handwriting Recognition Handwritten Document Recognition

DAN: a Segmentation-free Document Attention Network for Handwritten Document Recognition

1 code implementation23 Mar 2022 Denis Coquenet, Clément Chatelain, Thierry Paquet

For the first time, we propose an end-to-end segmentation-free architecture for the task of handwritten document recognition: the Document Attention Network.

Decoder Handwritten Document Recognition +1

Have convolutions already made recurrence obsolete for unconstrained handwritten text recognition ?

no code implementations9 Dec 2020 Denis Coquenet, Yann Soullard, Clément Chatelain, Thierry Paquet

This has a direct influence on the training time of such architectures, with also a direct consequence on the time required to explore various architectures.

Handwriting Recognition Handwritten Text Recognition

End-to-end Handwritten Paragraph Text Recognition Using a Vertical Attention Network

1 code implementation7 Dec 2020 Denis Coquenet, Clément Chatelain, Thierry Paquet

For each text line features, a decoder module recognizes the character sequence associated, leading to the recognition of a whole paragraph.

Decoder Handwritten Text Recognition

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