A comparison of pooling methods for convolutional neural networks

A Zafar, M Aamir, N Mohd Nawi, A Arshad, S Riaz… - Applied Sciences, 2022 - mdpi.com
One of the most promising techniques used in various sciences is deep neural networks
(DNNs). A special type of DNN called a convolutional neural network (CNN) consists of …

The objectfolder benchmark: Multisensory learning with neural and real objects

R Gao, Y Dou, H Li, T Agarwal, J Bohg… - Proceedings of the …, 2023 - openaccess.thecvf.com
Abstract We introduce the ObjectFolder Benchmark, a benchmark suite of 10 tasks for
multisensory object-centric learning, centered around object recognition, reconstruction, and …

ELMP-Net: The successive application of a randomized local transform for texture classification

JB Florindo, AR Backes, A Neckel - Pattern Recognition, 2024 - Elsevier
This work proposes a method for texture classification based on the successive application
of a local transform presented here for the first time. Such transform comprises two steps:(1) …