Podrobnosti studentského projektu

Téma:Instance-level recognition with deep learning
Katedra:Katedra kybernetiky
Vedoucí:Georgios Tolias, Ph.D.
Vypsáno jako:Diplomová práce, Bakalářská práce, Semestrální projekt
Popis:The goal of this project is to design and train a recognition system for particular objects (recognize "this" chair, instead of "a" chair) with deep learning. Due to the large number of classes, the task is typically handled as an image retrieval problem. Each image is represented by a high dimensional descriptor and landmarks are recognized through the labels of the closest images in the descriptor space. The project will seek improvements to this pipeline by representing images with more than a single descriptor and by training pairwise verification models that can infer whether two images show the same object with higher certainty. Application: landmark recognition
Literatura:Radenovic Tolias Chum, PAMI 2019, Fine-tuning CNN Image Retrieval with No Human Annotation
NohAraujoSimWeyandHan_ICCV2017_Large-Scale Image Retrieval with Attentive Deep Local Features
Za obsah zodpovídá: Petr Pošík