12 citations · 13 across the 3 of their papers we have counts for
3 papers
cs.LG2020
Retrain or not retrain? -- efficient pruning methods of deep CNN networks
Marcin Pietron, Maciej Wielgosz
Convolutional neural networks (CNN) play a major role in image processing tasks like image classification, object detection, semantic segmentation. Very often CNN networks have fro…
cs.CV2016★ 12 cited
Using Spatial Pooler of Hierarchical Temporal Memory to classify noisy videos with predefined complexity
Maciej Wielgosz, Marcin Pietroń
This paper examines the performance of a Spatial Pooler (SP) of a Hierarchical Temporal Memory (HTM) in the task of noisy object recognition. To address this challenge, a dedicated…
cs.CV2016★ 1 cited
OpenCL-accelerated object classification in video streams using Spatial Pooler of Hierarchical Temporal Memory
Maciej Wielgosz, Marcin Pietroń
We present a method to classify objects in video streams using a brain-inspired Hierarchical Temporal Memory (HTM) algorithm. Object classification is a challenging task where huma…