The R&D team of @heuritechdata, we do #DeepLearning and #ComputerVision for fashion!
Paris, France
Joined June 2017
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Our research scientist @Ar_Douillard has published a review of Continual Learning papers at #CVPR2020:
A lot of interesting works on this promising field!
medium.com/heuritech/continu…
@cvpr2020 @ContinualAI
Heuritech Research retweeted
Assume you are creating a team with multiple versions of the same person. Should these versions be collected chronologically, from childhood to adulthood? or rather from independent evolutions in multiple parallel universes? A 🧵about Ricks and our latest #DeepLearning paper.
Heuritech Research retweeted
The first transformer designed for Continual Learning in Computer Vision has been accepted to #CVPR2022! 🥳
Using a dynamic approach, it forgets less than previous ensembling methods while using fewer parameters.
💻: github.com/arthurdouillard/d…
📕: arxiv.org/abs/2111.11326
🧵👇
ALT The DyTox architecture, figure 2
Heuritech Research retweeted
Surprised #deeplearning methods were not massively used to detect Covid? Some tried, but most failed: e.g. they rely on patients' age instead of 'truly' analyzing the medical scans. This is because networks learn correlation and not causation. Our preprint Fishr tackles this. 1/4
Heuritech Research retweeted
I've released my course on deep learning for computer vision!
It includes slides, google colab, and Anki decks for all 6 topics I'm covering.
We code from the basics (backprop from scratch) to the SotA (transformers & MLP-mixer).
arthurdouillard.com/deepcour…
Feedback appreciated!
Heuritech Research retweeted
I'm presenting our work on using prior from the future in Continual Learning to make networks more selfless at this afternoon @CVPR @ContinualAI Workshop.
"Insights from the Future for Continual Learning"
Paper: arxiv.org/abs/2006.13748
#CVPR2021
Heuritech Research retweeted
My cat ε and I are honored to be featured in today's @CVPR 's daily.
Despite being virtual, so far I'm enjoying a lot this conf', I've learned a lot!
rsipvision.com/CVPR2021-Tues… #CVPR2021
Heuritech Research retweeted
Continuum now supports the Continual Learning CTRL benchmark of @TomVeniat @LudovicDenoyer @MarcRanzato @facebookai!
* 5 predefined CTRL datasets
* easy to custom your own CTRL
Code: github.com/Continvvm/continu…
Colab: colab.research.google.com/dr…
Paper: arxiv.org/abs/2012.12631
ALT Two of the 5 predefined CTRL datasets, S^{in} and S^{-}.
Latest paper from @heuritechdata R&D team
Our paper "Insights from the Future for Continual Learning" has been published at the CLVISION Workshop of #CVPR2021!
We exploit zeroshot to incorpore future concepts in the current embeddings and minimize interference
Paper: arxiv.org/abs/2006.13748
Code: github.com/arthurdouillard/i…
Heuritech Research retweeted
Deep networks only "really" use a small amount of their params: so, why not fit multiple subnetworks into one base network ? We introduce MixMo, a generalized "ensemble for free" framework, to learn multi-input multi-output subnetworks. We reach sota for computer vision ... 1/2
Heuritech Research retweeted
The talk starts in 30min!
It will last around 20min, and after that you can go enjoy your weekend 🎉
I'm presenting tomorrow Continuum, a light-weight library to do continual learning!
Come watch Friday 3 April, 5.30PM CEST :)
📌 Eventbrite event: eventbrite.it/e/continuum-si…
📌 Miscrosoft Teams: teams.microsoft.com/l/meetup…
Heuritech Research retweeted
I'm presenting tomorrow Continuum, a light-weight library to do continual learning!
Come watch Friday 3 April, 5.30PM CEST :)
📌 Eventbrite event: eventbrite.it/e/continuum-si…
📌 Miscrosoft Teams: teams.microsoft.com/l/meetup…
Summary of our weekly internal meeting about the latest research in computer vision
Today: self-supervision!
Barlow Twins: Self-Supervised Learning via Redundancy Reduction: arxiv.org/abs/2103.03230
How cross-correlation matrix can help us avoiding the infamous collapse found in siamese-like networks.
A thread 👇
Heuritech Research retweeted
I've released the code of our #CVPR2021's PLOP on Continual Segmentation!
Code: github.com/arthurdouillard/C…
Camera-ready pdf: arxiv.org/abs/2011.11390
Heuritech Research retweeted
Happy to share the 3 papers accepted at #CVPR2021!😀
(1/3) "Learning without Forgetting for Continual Semantic Segmentation"
By @Ar_Douillard, Yifu Chen, Arnaud Dapogny, @quobbe
In collaboration w/: @heuritechlab, @DatakaLab, @valeoai
arxiv.org/abs/2011.11390
Heuritech Research retweeted
I've submitted my first paper ever at CVPR2020 and got rejected, it was hard.
But I'm happy to announce that my third paper, PLOP, has been accepted to #CVPR2021!
Code will be released soon!
New work from Y.Chen, A.Dapogny, @quobbe, and myself.
We tackle Continual Semantic Segmentation by introducing a novel distillation loss exploiting local & global details, and an uncertainty-based pseudo-labeling handling background shift
(We are PLOP)
arxiv.org/abs/2011.11390
Last research from our lab 🔬
A joint work with @mlia_lip6, @DatakaLab, and @valeoai
New work from Y.Chen, A.Dapogny, @quobbe, and myself.
We tackle Continual Semantic Segmentation by introducing a novel distillation loss exploiting local & global details, and an uncertainty-based pseudo-labeling handling background shift
(We are PLOP)
arxiv.org/abs/2011.11390
Look at one of #DeepLearning algorithms we developed at Heuritech to be detect precise color values of #fashion garments!
That's our everyday challenge at @heuritechdata!
Here our answer: 🚀CORE!
Inspired by Faster-RCCN's anchors, we predict crude RGB values ("velvet red") and then regress to precise RGB
By @ramealexandre (lead), @CharlesOllion, and myself
arxiv.org/abs/2010.02849
Heuritech Research retweeted
Execution > Idea
I've had so many ideas for research that I wasn't able to make it work in practice, while others have later succeed with essentially the same idea.
It's hard to judge if we should push an idea and maybe waste time or switch to other ideas.
Heuritech Research retweeted
The second #ECCV2020 Q&A session just started, you're more than welcomed to join and ask questions - 1014: Learning Visual Representations with Caption Annotations
Our #ECCV2020 paper is out arxiv.org/abs/2008.01392
By learning to predict a masked token in a caption using its associated image, our model learns generic visual representations from scratch using only image-caption pairs.
w/ @mbsariyildiz @perezjln @naverlabseurope
Heuritech Research retweeted
Just released blog on Learning Visual Representations with Caption Annotations. Needs less data & attention maps show visual features are interpretable. Work by @mbsariyildiz @jlperez and @dlarlus presented @ECCV2020 today 6am & 2pm #1014 bit.ly/3aPsMNX #eccv20