SIFT-CNN: When Convolutional Neural Networks Meet Dense SIFT Descriptors for Image and Sequence Classification

SIFT-CNN: When Convolutional Neural Networks Meet Dense SIFT Descriptors for Image and Sequence Classification

Despite the success of hand-crafted features in computer visioning for many years, nowadays, this has been replaced by end-to-end learnable features that are extracted from deep convolutional neural networks (CNNs). Whilst CNNs can learn robust features directly from image pixels, they require large...

Full description

Bibliographic Details
Main Authors: Dimitrios Tsourounis, Dimitris Kastaniotis, Christos Theoharatos, Andreas Kazantzidis, George Economou
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Journal of Imaging
Subjects:
deep learning
CNN
local rotation invariance
SIFT descriptors
HEp-2 cell image classification
all-sky image-cloud classification
Online Access:https://www.mdpi.com/2313-433X/8/10/256

Internet

https://www.mdpi.com/2313-433X/8/10/256

Similar Items