Speed/Accuracy Trade-Offs for Modern Convolutional Object Detectors
The goal of this paper is to serve as a guide for selecting a detection architecture that achieves the right speed/memory/accuracy balance for a given application and platform. ...
Publications
2 shownClass-Balanced Loss Based on Effective Number of Samples
With the rapid increase of large-scale, real-world datasets, it becomes critical to address the problem of long-tailed data distribution (i.e., a few classes account for most of...
Frequent Co-Authors
Researcher Info
- h-index
- 2
- Publications
- 2
- Citations
- 4,902
- Institution
- Google (United States)
External Links
Identifiers
- ORCID
- 0000-0003-1283-1672
Impact Metrics
h-index
2
h-index: Number of publications with at least h citations each.