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David Feinzimer

3 papers hereh-index 3445 citations5 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CV3

identity via Semantic Scholar / OpenAlex

collaborators

3 papers

cs.CV2019

Residual-CNDS for Grand Challenge Scene Dataset

Hussein A. Al-Barazanchi, Hussam Qassim, David Feinzimer +1

Increasing depth of convolutional neural networks (CNNs) is a highly promising method of increasing the accuracy of the (CNNs). Increased CNN depth will also result in increased la…

cs.CV2017

The Compressed Model of Residual CNDS

Hussam Qassim, David Feinzimer, Abhishek Verma

Convolutional neural networks have achieved a great success in the recent years. Although, the way to maximize the performance of the convolutional neural networks still in the beg…

cs.CV2017

Residual Squeeze VGG16

Hussam Qassim, David Feinzimer, Abhishek Verma

Deep learning has given way to a new era of machine learning, apart from computer vision. Convolutional neural networks have been implemented in image classification, segmentation…

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