677 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Athena Research and Innovation Center In Information Communication & Knowledge TechnologiesGR1 paper
- Athens State UniversityUS1 paper
- Centre Inria de l'Université de RennesFR1 paper
- Czech Technical University in PragueCZ1 paper
- Google (Switzerland)CH1 paper
- Google (United States)US1 paper
- Institut Agro Rennes-AngersFR1 paper
- Institut de Recherche en Informatique et Systèmes AléatoiresFR1 paper
- Institut National des Sciences Appliquées de RennesFR1 paper
- LACODAM: Fouille de données collaborative à grande échelleFR1 paper
- Littoral, Environnement, Télédétection, GéomatiqueFR1 paper
- Meta (United States)US1 paper
3 papers · 1 filter
Training Object Detectors from Few Weakly-Labeled and Many Unlabeled Images
Zhaohui Yang, Miaojing Shi, Chao Xu +2
Weakly-supervised object detection attempts to limit the amount of supervision by dispensing the need for bounding boxes, but still assumes image-level labels on the entire trainin…
Homo Cyberneticus: The Era of Human-AI Integration
Jun Rekimoto
This article is submitted and accepted as ACM UIST 2019 Visions. UIST Visions is a venue for forward thinking ideas to inspire the community. The goal is not to report research but…
Graph convolutional networks for learning with few clean and many noisy labels
Ahmet Iscen, Giorgos Tolias, Yannis Avrithis +2
In this work we consider the problem of learning a classifier from noisy labels when a few clean labeled examples are given. The structure of clean and noisy data is modeled by a g…