Computer vision & multimodal· 2015
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
DOI 10.1109/tpami.2016.2577031arXiv 1506.01497OpenAlex W639708223
On the reading lists
- #12 in the Top 500 (2026 edition)
- #6 in Computer vision & multimodal (2026 edition)
Why it matters
Made region proposals learnable and efficient, establishing the dominant two-stage detection architecture.
Condensed from the expert lists' notes.
The record
- First released
- 2015 (from arXiv 1506.01497)
- Citations
- 76,424 citations, as counted by Papers With Code (CC BY-SA 4.0)
- Awards
- NeurIPS Test of Time
- Named by
- both expert lists
- Score
- 0.840 · computed rank 12 · consensus 0.84, must-read 0.5, citations percentile 0.965 (2010s · vision), awards 1, 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.