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
3 shownProgressive Neural Architecture Search
We propose a new method for learning the structure of convolutional neural networks (CNNs) that is more efficient than recent state-of-the-art methods based on reinforcement lea...
Rethinking Spatiotemporal Feature Learning: Speed-Accuracy Trade-offs in Video Classification
Despite the steady progress in video analysis led by the adoption of convolutional neural networks (CNNs), the relative improvement has been less drastic as that in 2D static im...
Frequent Co-Authors
Researcher Info
- h-index
- 3
- Publications
- 3
- Citations
- 5,969
- Institution
- Google (United States)
External Links
Identifiers
- ORCID
- 0000-0001-5196-7236
Impact Metrics
h-index
3
h-index: Number of publications with at least h citations each.