Open-Set Object Detection: challenging VLM to understand unknown objects
Il y a 34 minutes
Your missions within this internship are to:
- Study state-of-the-art methods of Open Set Object Detection (OSOD) as well as Visual Language Models (VLM) in the context of Open World containing both known and unknown objects;
- Design an object detector aware of the existence of the unknown, and able to describe the unknown by comparing it to or distinguishing it from what is known via certain characteristics that can be described textually;
- Evaluate the proposed method on recent OSOD benchmarks and compare to the state of the art;
- Challenge these methods by applying them to new contexts (e.g. aerial images, medical imaging);
- If relevant, submit your contributions to an international conference or workshop for publication.
Join CEA List and LVA as an intern to:
- Work in one of the most innovative research organizations in the world, addressing societal challenges to build the world of tomorrow
- Discover a rich ecosystem: privileged connections between the industrial and academic sectors
- Conduct research autonomously and creatively: encouragement to valorize results (scientific articles, patents, open-source codes...)
- Join a young and dynamic team
- Benefit from an internal computing infrastructure with more
than 300 state-of-the-art GPUs
- Receive a stipend between €1300 and €1400 per month
- Have the opportunity to continue with a PhD or as a research engineer after the internship
- Have the possibility of remote work, receive a 75% reimbursement on public transportation costs, and benefit
from the "mobili-jeune" aid to reduce rent costs…
Moyens / Méthodes / Logiciels
Deep Leanring / Computer Vision / Pytorch
*Profil du candidat*
Students in their 5th year of studies (M2)
- Computer vision skills
- Machine learning skills (deep learning, VLM…)
- Python proficiency in a deep learning framework (especially PyTorch)
*Localisation du poste
Site*
Saclay
*Localisation du poste*
France, Ile-de-France, Essonne (91)
Ville
Palaiseau
*Critères candidat
Diplôme préparé*
Bac+5 - Master of Science
Formation recommandée
Master or Ecole d'ingénieur
Possibilité de poursuite en thèse
Oui
*Demandeur
Disponibilité du poste*
01/02/2026
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