# Fine-grained recognition without part annotations

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/fine-grained-recognition-without-part-annotations/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Jonathan Krause,Hailin Jin,Jianchao Yang,Li Fei-Fei |
| Citations | 498 |
| DOI | 10.1109/cvpr.2015.7299194 |
| Fields | Computer Science,Engineering |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W1898560071 |
| Type | conference-paper |
| Year | 2015 |

## Paper authors

- [Jonathan Krause](https://scholariq.org/researchers/jonathan-krause/)
- [Li Fei-Fei](https://scholariq.org/researchers/li-fei-fei/)

## Paper primary topic

- [Advanced Neural Network Applications](https://scholariq.org/topics/advanced-neural-network-applications/)

## Paper topics

- [Advanced Neural Network Applications](https://scholariq.org/topics/advanced-neural-network-applications/)
- [Robotics and Sensor-Based Localization](https://scholariq.org/topics/robotics-and-sensor-based-localization/)
- [Advanced Image and Video Retrieval Techniques](https://scholariq.org/topics/advanced-image-and-video-retrieval-techniques/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.