Computer vision & multimodal· 2016
Densely Connected Convolutional Networks
DOI 10.1109/cvpr.2017.243arXiv 1608.06993OpenAlex W2963446712
On the reading lists
- #232 in the Top 500 (2026 edition)
- #42 in Computer vision & multimodal (2026 edition)
Why it matters
Introduced DenseNet, improving gradient flow, feature reuse, and parameter efficiency through dense connectivity.
Condensed from the expert lists' notes.
The record
- First released
- 2016 (from arXiv 1608.06993)
- Published
- 2017
- Citations
- 48,554 citations, as counted by OpenAlex (CC0)
- Named by
- both expert lists
- Also relevant to
- Deep learning
- Score
- 0.502 · computed rank 232 · consensus 0.41, must-read 0, citations percentile 0.941 (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.