Can fine grained be used for pedestrian detection?

Alibaba IDST won the championship of pedestrian detection, and the pedestrian recognition technology ranked first in the world. Pedestrian re-identification and pedestrian detection are not general face recognition, Hua Xiansheng, the relevant person in charge of Ali, said that in real life, many cameras are not very clear, but through the characteristics of some pedestrians, people can be recognized.

Alibaba is working hard to solve a series of world-class problems, which also allows it to have a lot of black technology, recently the global list of visual algorithms ranked was refreshed, Alibaba IDST won the champion in pedestrian detection, the company also has a major breakthrough in pedestrian recognition, its first hit rate has been reached, ranking first in the world.

Pedestrian re-identification and pedestrian detection technology is at the core of the field of unmanned driving and urban safety, pedestrian detection technology requires the machine to judge whether there are pedestrians and where the pedestrian is from the ** and the image, and the pedestrian re-identification technology requires the machine to recognize the image of a specific person in different cameras.

These two technologies have played a big role in pedestrian traffic safety and in finding lost children and the elderly. The two technologies are not ordinary face recognition, Hua Xiansheng, the relevant person in charge of Ali, said that in real life, many cameras are not very clear, but they can identify people through the characteristics of some pedestrians.

However, there are some scenes where lighting and occlusion occur, which poses a great challenge to the accuracy of the two technologies, and in order to successfully overcome this problem, the Alibaba Vision team has innovated the technology, using cascading networks and making full use of contextual information.

In addition, they also use deep learning technology to extract the overall features of pedestrians, and can also obtain super-resolution modules to obtain local features.

The researchers have also explored ways to combine coarse-grained and fine-grained global features to improve the consistency of pedestrian walking in different shots, and Alibaba's research institute IDST has been a leader in Kitti vehicle detection, and these technologies have all been put into Alibaba's City Brain and have begun to be officially applied.

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The above disciplines can be said to be the ace disciplines of the school.

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