Search Results for author: Eden Belouadah

Found 11 papers, 7 papers with code

MultIOD: Rehearsal-free Multihead Incremental Object Detector

no code implementations11 Sep 2023 Eden Belouadah, Arnaud Dapogny, Kevin Bailly

The main challenge of incremental learning is catastrophic forgetting, the inability of neural networks to retain past knowledge when learning a new one.

Class Incremental Learning Incremental Learning +4

PlaStIL: Plastic and Stable Memory-Free Class-Incremental Learning

no code implementations14 Sep 2022 Grégoire Petit, Adrian Popescu, Eden Belouadah, David Picard, Bertrand Delezoide

Mainstream methods need to store two deep models since they integrate new classes using fine-tuning with knowledge distillation from the previous incremental state.

Class Incremental Learning Incremental Learning +1

A Comparative Study of Calibration Methods for Imbalanced Class Incremental Learning

no code implementations1 Feb 2022 Umang Aggarwal, Adrian Popescu, Eden Belouadah, Céline Hudelot

Since memory is bounded, old classes are learned with fewer images than new classes and an imbalance due to incremental learning is added to the initial dataset imbalance.

Class Incremental Learning Incremental Learning +1

Dataset Knowledge Transfer for Class-Incremental Learning without Memory

1 code implementation16 Oct 2021 Habib Slim, Eden Belouadah, Adrian Popescu, Darian Onchis

We introduce a two-step learning process which allows the transfer of bias correction parameters between reference and target datasets.

Class Incremental Learning Incremental Learning +1

A Comprehensive Study of Class Incremental Learning Algorithms for Visual Tasks

1 code implementation3 Nov 2020 Eden Belouadah, Adrian Popescu, Ioannis Kanellos

A second type of approaches fix the deep model size and introduce a mechanism whose objective is to ensure a good compromise between stability and plasticity of the model.

Class Incremental Learning Incremental Learning +1

Initial Classifier Weights Replay for Memoryless Class Incremental Learning

1 code implementation31 Aug 2020 Eden Belouadah, Adrian Popescu, Ioannis Kanellos

It leverages initial classifier weights which provide a strong representation of past classes because they are trained with all class data.

Class Incremental Learning Fairness +2

Active Class Incremental Learning for Imbalanced Datasets

1 code implementation25 Aug 2020 Eden Belouadah, Adrian Popescu, Umang Aggarwal, Léo Saci

Most existing algorithms make two strong hypotheses which reduce the realism of the incremental scenario: (1) new data are assumed to be readily annotated when streamed and (2) tests are run with balanced datasets while most real-life datasets are actually imbalanced.

Class Incremental Learning Incremental Learning +1

ScaIL: Classifier Weights Scaling for Class Incremental Learning

1 code implementation16 Jan 2020 Eden Belouadah, Adrian Popescu

The problem is non trivial if the agent runs on a limited computational budget and has a bounded memory of past data.

Class Incremental Learning Incremental Learning

IL2M: Class Incremental Learning With Dual Memory

2 code implementations ICCV 2019 Eden Belouadah, Adrian Popescu

This paper presents a class incremental learning (IL) method which exploits fine tuning and a dual memory to reduce the negative effect of catastrophic forgetting in image recognition.

Class Incremental Learning Incremental Learning

DeeSIL: Deep-Shallow Incremental Learning

no code implementations20 Aug 2018 Eden Belouadah, Adrian Popescu

Incremental Learning (IL) is an interesting AI problem when the algorithm is assumed to work on a budget.

Incremental Learning Transfer Learning

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