Object detection methods published recently have pushed the state of the art (SOTA) on a popular benchmark – MS COCO dataset. In Part I we took a closer look into CornerNet. This time, let’s see what makes CornerNet-Lite superior to the previous CornerNet method. CornerNet-Lite: Efficient Keypoint-Based Object Detection As was mentioned before, the good […]
Latest Trends of Object Detection: From CornerNet to CenterNet Explained. Part I: CornerNet
Object detection methods published recently have pushed the state of the art (SOTA) on a popular benchmark – MS COCO dataset. Let’s take a closer look at these methods. But first, we will start with an introduction. Object Detection: Previous Methods There are mainly two types of state-of-the-art object detectors. On the one hand, we […]
Embedded Vision Summit 2019
Embedded Vision Summit is an annual industry conference focussed on computer vision and machine learning for embedded devices. This year it will be held in Santa Clara, California between May 20-23. The keynote speakers talking at the conference are Dr. Ramesh Raskar, Associate Professor at MIT Media Labs, and Pete Warden, Staff Research Engineer at […]
CVPR 2019 Tutorial: OpenCV 4.x and more new tools for CV R&D
TBD
ACCV 2018 Tutorial: Bringing deep learning to the edge with Intel® OpenVINO™
At 14th Asian Conference of Computer Vision Intel deep learning team will present the half-day tutorial with introduction to Intel® OpenVINO™
CVPR 2018 Tutorial: Using Intel Deep Learning deployment tools for algorithm development and productization
At CVPR 2018 (Salt Lake City, UT) Intel deep learning team will present the half-day tutorial with introduction to CV SDK, Intel DL Inference Engine, its use with OpenCV and CV SDK Model Zoo – the collection of high-quality deep learning models for various computer vision tasks.
