Object detection is one of the important problems for autonomous robots. Faster R-CNN, one of the state-of-the-art object detection methods, approaches real time application; nevertheless, ...

Going in the case of object detection where CNN is very helpful, we have three region-based CNN models which we call R-CNN, ... Comparison: R-CNN: Fast R-CNN: Faster R-CNN: region proposals method: ...

YOLO (You Only Look Once): An object detection model known for its speed and accuracy. Faster R-CNN: A detection model that uses region proposals to improve detection accuracy. Performance Comparison: ...

It aims to enable object detection on microcontrollers in the power domain of milliwatts, with less than 0.5MB memory available for storing convolutional neural network (CNN) weights. The proposed ...

R-CNN实现由如下3部分组成： @misc{girshick2013rich, title={Rich feature hierarchies for accurate object detection and semantic segmentation}, author={Ross Girshick and Jeff Donahue and Trevor Darrell and ...

Object detection is one of the important problems for autonomous robots. Faster R-CNN, one of the state-of-the-art object detection methods, approaches real time application; nevertheless, ...