FCOS: Fully Convolutional One-Stage Object Detection
We propose a fully convolutional one-stage object detector (FCOS) to solve object detection in a per-pixel prediction fashion, analogue to semantic segmentation. Almost all stat...
Publications
2 shownBag of Tricks for Image Classification with Convolutional Neural Networks
Much of the recent progress made in image classification research can be credited to training procedure refinements, such as changes in data augmentations and optimization metho...
Frequent Co-Authors
Researcher Info
- h-index
- 2
- Publications
- 2
- Citations
- 7,150
- Institution
- The University of Adelaide
External Links
Identifiers
- ORCID
- 0000-0002-2388-8618
Impact Metrics
h-index
2
h-index: Number of publications with at least h citations each.