HR-ResNet101
Carnegie Mellon University (CMU)Face detectionOpen weights
HR-ResNet101 is face detection model published by Carnegie Mellon University (CMU) in 2016 featuring 44500000.0 parameters.
About HR-ResNet101
Though tremendous strides have been made in object recognition, one of the remaining open challenges is detecting small objects. We explore three aspects of the problem in the context of finding small faces: the role of scale invariance, image resolu
Details
- Provider
- Carnegie Mellon University (CMU)
- Task
- Face detection
- Parameters
- 44500000.0
- Released
- 2016-12-13
- Open weights
- Yes