Object detection is a computer vision technique that received high significant attention in recent decades. Object detection algorithms typically employ machine learning or deep learning to produce ...

In the framework OBJECT DETECTION AND LANE CHANGING FOR SELF DRIVING CAR USING CNN Abstract: In recent years ... This paper focuses on a computer vision-based object detection technique by using CNN ...

However, considering the small network size, adding object detection classes will increase the size and memory consumption of the network, thus object detection with up to 3 classes is demonstrated.

We provide a simple demo that creates a side-by-side video of a regular Faster R-CNN vs. our open-vocabulary detector. To run, just open any of the notebooks inside the demo folder. Check INSTALL.md ...

Detectron is Facebook AI Research's software system that implements state-of-the-art object detection algorithms, including Mask R-CNN. It is written in Python and powered by the Caffe2 deep learning ...

Faster R-CNN, introduced in 2016, solves the final piece of the object-detection puzzle by integrating the region extraction mechanism into the object detection network.

Some of these hard negatives can be removed by making use of high level semantic vision cues. In this paper, we propose a region-based CNN method which makes use of semantic cues for better pedestrian ...

We compared a customized framework for tassel detection based on convolutional neural network with an off-the-shelf Faster R-CNN object detection model. Although our dataset were collected from fields ...