Search Results for author: Othman Sbai

Found 4 papers, 1 papers with code

Re-ranking for image retrieval and transductive few-shot classification

no code implementations NeurIPS 2021 Xi Shen, Yang Xiao, Shell Hu, Othman Sbai, Mathieu Aubry

In the problems of image retrieval and few-shot classification, the mainstream approaches focus on learning a better feature representation.

Classification Few-Shot Learning +3

Impact of base dataset design on few-shot image classification

no code implementations ECCV 2020 Othman Sbai, Camille Couprie, Mathieu Aubry

In this paper, we systematically study the effect of variations in the training data by evaluating deep features trained on different image sets in a few-shot classification setting.

Classification Few-Shot Image Classification +1

Unsupervised Image Decomposition in Vector Layers

no code implementations13 Dec 2018 Othman Sbai, Camille Couprie, Mathieu Aubry

Deep image generation is becoming a tool to enhance artists and designers creativity potential.

Image Generation Image Reconstruction +3

DeSIGN: Design Inspiration from Generative Networks

1 code implementation3 Apr 2018 Othman Sbai, Mohamed Elhoseiny, Antoine Bordes, Yann Lecun, Camille Couprie

Can an algorithm create original and compelling fashion designs to serve as an inspirational assistant?

Image Generation Retrieval

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