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researcher

Philipp Fischer

2 papers here

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

author position
  • first author1
  • middle author1

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.CV1
  • cs.LG1
ORCID 0000-0002-3357-5420

identity via Semantic Scholar / OpenAlex

most citedDescriptor Matching with Convolutional Neural Networks: a Comparison to SIFT

248 citations · 281 across the 2 of their papers we have counts for

collaborators

2 papers

cs.LG2014★ 33 cited

Discriminative Unsupervised Feature Learning with Exemplar Convolutional Neural Networks

Alexey Dosovitskiy, Philipp Fischer, Jost Tobias Springenberg +2

Deep convolutional networks have proven to be very successful in learning task specific features that allow for unprecedented performance on various computer vision tasks. Training…

cs.CV2014★ 248 cited

Descriptor Matching with Convolutional Neural Networks: a Comparison to SIFT

Philipp Fischer, Alexey Dosovitskiy, Thomas Brox

Latest results indicate that features learned via convolutional neural networks outperform previous descriptors on classification tasks by a large margin. It has been shown that th…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.