SAF R-CNN
Beijing Institute of TechnologySun Yat-sen UniversityPanasonic R&DNational University of SingaporeObject detection
The SAF R-CNN model is a frontier object detection model from Beijing Institute of Technology,Sun Yat-sen University,Panasonic R&D,National University of Singapore with 138000000.0 parameters.
About SAF R-CNN
In this work, we consider the problem of pedestrian detection in natural scenes. Intuitively, instances of pedestrians with different spatial scales may exhibit dramatically different features. Thus, large variance in instance scales, which results i
Details
- Provider
- Beijing Institute of Technology,Sun Yat-sen University,Panasonic R&D,National University of Singapore
- Task
- Object detection
- Parameters
- 138000000.0
- Released
- 2015-10-28
- Open weights
- No