97 citations · 136 across the 10 of their papers we have counts for
5 papers · 1 filter
CoRe: Color Regression for Multicolor Fashion Garments
Alexandre Rame, Arthur Douillard, Charles Ollion
Developing deep networks that analyze fashion garments has many real-world applications. Among all fashion attributes, color is one of the most important yet challenging to detect.…
The Monte Carlo Transformer: a stochastic self-attention model for sequence prediction
Alice Martin, Charles Ollion, Florian Strub +2
This paper introduces the Sequential Monte Carlo Transformer, an original approach that naturally captures the observations distribution in a transformer architecture. The keys, qu…
Insights from the Future for Continual Learning
Arthur Douillard, Eduardo Valle, Charles Ollion +2
Continual learning aims to learn tasks sequentially, with (often severe) constraints on the storage of old learning samples, without suffering from catastrophic forgetting. In this…
PODNet: Pooled Outputs Distillation for Small-Tasks Incremental Learning
Arthur Douillard, Matthieu Cord, Charles Ollion +2
Lifelong learning has attracted much attention, but existing works still struggle to fight catastrophic forgetting and accumulate knowledge over long stretches of incremental learn…
DistNet: Deep Tracking by displacement regression: application to bacteria growing in the Mother Machine
Jean Ollion, Charles Ollion
The mother machine is a popular microfluidic device that allows long-term time-lapse imaging of thousands of cells in parallel by microscopy. It has become a valuable tool for sing…