Where are my clothes? A multi-level approach for evaluating deep instance segmentation architectures on fashion images

W Jouanneau, A Bugeau, M Palyart… - Proceedings of the …, 2021 - openaccess.thecvf.com
In this paper we present an extensive evaluation of instance segmentation in the context of
images containing clothes. We propose a multi level evaluation that completes the classical …

DeCAtt: Efficient Vision Transformers with Decorrelated Attention Heads

M Bhattacharyya… - Proceedings of the …, 2023 - openaccess.thecvf.com
Abstract The advent of Vision Transformers (ViT) has led to significant performance gains
across various computer vision tasks over the last few years, surpassing the de facto …

Lookahead optimizer improves the performance of Convolutional Autoencoders for reconstruction of natural images

S Nag - arxiv preprint arxiv:2012.05694, 2020 - arxiv.org
Autoencoders are a class of artificial neural networks which have gained a lot of attention in
the recent past. Using the encoder block of an autoencoder the input image can be …

Neural Network architectures to classify emotions in Indian Classical Music

U Sarkar, S Nag, M Basu, A Banerjee, S Sanyal… - arxiv preprint arxiv …, 2021 - arxiv.org
Music is often considered as the language of emotions. It has long been known to elicit
emotions in human being and thus categorizing music based on the type of emotions they …

Identification de vêtements dans des images: de la segmentation d'instances à la classification multi-étiquettes faiblement supervisée

W Jouanneau - 2023 - theses.hal.science
Pour l'industrie textile et de la mode, les images de vêtements sont essentielles à différentes
fins: décisionnelles, collaboratives, promotionnelles, pour tous les types de produits …