Work

Part-Based R-CNNs for Fine-Grained Category Detection

Year: 2014

Type: conference-paper

Source: Lecture notes in computer science

Parent work: Computer Vision – ECCV 2014: 13th European Conference, Zurich, Switzerland, September 6-12, 2014, Proceedings, Part I

DOI: 10.1007/978-3-319-10590-1_54

Authors: Ning Zhang, Jeff Donahue, Ross Girshick, Trevor Darrell

Institution: University of California, Berkeley

Language: English

Topic: Advanced Neural Network Applications

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funders: National Science Foundation, Defense Advanced Research Projects Agency

Awards: Support for Workshop on Advances in Language and Vision, HCC: Medium: Collaborative Research: Computer Vision and Online Communities: A Symbiosis, RI: Large: Collaborative Research: Reconstructive recognition: Uniting statistical scene understanding and physics-based visual reasoning

OpenAlex ID: W56385144

FWCI: 47.11

Cites: 49

Cited by: 1,228

Related to: 10