[HTML][HTML] Hyper-flexible convolutional neural networks based on generalized lehmer and power means
Abstract Convolutional Neural Network is one of the famous members of the deep learning
family of neural network architectures, which is used for many purposes, including image …
family of neural network architectures, which is used for many purposes, including image …
Multi-scale transformer-based feature combination for image retrieval
CR Mari, DV Gonzalez… - 2022 IEEE International …, 2022 - ieeexplore.ieee.org
Image retrieval consists in the selection of a set of images from a database, based on their
visual similarity to a given query image. To compute this visual similarity, a global or multiple …
visual similarity to a given query image. To compute this visual similarity, a global or multiple …
A new unsupervised pseudo-siamese network with two filling strategies for image denoising and quality enhancement
C Huang, D Hong, C Yang, C Cai, S Tao… - Neural Computing and …, 2023 - Springer
Digital image noise may be introduced during acquisition, transmission, or processing and
affects readability and image processing effectiveness. The accuracy of established image …
affects readability and image processing effectiveness. The accuracy of established image …
Explainable Deep Learning for the Application to Multimodal Data
R Mallick - 2023 - theses.hal.science
The progress of deep neural networks in the last decade across the domains has led to
concern about the black-box nature of these models. For the trustworthiness of deep neural …
concern about the black-box nature of these models. For the trustworthiness of deep neural …