Arthur Douillard

Official code of CVPR 2021's PLOP: Learning without Forgetting for Continual Semantic Segmentation

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Learn the Deep Learning for Computer Vision in three steps: theory from base to SotA, code in PyTorch, and space-repetition with Anki

arthurdouillard

Dynamic Token Expansion with Continual Transformers, accepted at CVPR 2022

arthurdouillard

A collection of incremental learning paper implementations including PODNet (ECCV20) and Ghost (CVPR-W21).

arthurdouillard

Implementation in Keras of Effnet (https://arxiv.org/abs/1801.06434)

arthurdouillard

Implementation in Keras of MobileNet (https://arxiv.org/abs/1704.04861)

arthurdouillard

Implementation in Keras of ShuffleNet (https://arxiv.org/abs/1707.01083)

arthurdouillard

Implementation in Keras of: Snapshot Ensembles: Train 1, get M for free (https://arxiv.org/abs/1704.00109)

arthurdouillard

Implementation of NALU & NAC (https://arxiv.org/abs/1808.00508 | DeepMind) in PyTorch.

arthurdouillard

Unfinished Work: Implementation of Multi-Adversarial Domain Adaptation (https://arxiv.org/abs/1809.02176) in Pytorch

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