Computer vision & multimodal· 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
On the reading lists
- #109 in the Top 500 (2026 edition)
- #23 in Computer vision & multimodal (2026 edition)
Why it matters
Demonstrated the power of depth and simple stacked convolutions for transferable visual features.
Condensed from the expert lists' notes.
The record
- First released
- 2014 (from arXiv 1409.1556)
- Published
- 2015
- Citations
- 114,859 citations, as counted by Papers With Code (CC BY-SA 4.0)
- Named by
- both expert lists
- Also relevant to
- Deep learning
- Score
- 0.649 · computed rank 109 · consensus 0.69, must-read 0.5, citations percentile 0.976 (2010s · vision), awards 0, existing lists 0.5. Method
Data sources
Catalogue data from OpenAlex (CC0), Crossref (CC0 metadata; no abstracts are shown), arXiv, and Papers With Code (CC BY-SA 4.0). Each count names its source. See the method.