CompACT-Deep
University of California San DiegoObject detection
CompACT-Deep is a object detection model from University of California San Diego released in 2015.
About CompACT-Deep
The design of complexity-aware cascaded detectors, combining features of very different complexities, is considered. A new cascade design procedure is introduced, by formulating cascade learning as the Lagrangian optimization of a risk that accounts
Details
- Provider
- University of California San Diego
- Task
- Object detection
- Released
- 2015-07-19
- Open weights
- No