Baidu Zhongchuang (Shanghai) Computer Vision Algorithm Intern Interview-October 2020

Baidu Zhongchuang (Shanghai) Computer Vision Algorithm Intern Interview-October 2020

Baidu public test official website

The interviewer told me about the 2D 3D detection and segmentation of the vehicle data set, and the key points.

The questions asked are:

  1. What methods do you know to solve category imbalance? (Frequent exam!!!) I answered focal loss, data augmentation and examples.
  2. What is the maximum likelihood estimate? formula
  3. What is the principle of cross entropy?
  4. Why can gradient descent find the optimal solution?
  5. Do you understand normalization?
  6. Do you understand regularization?
  7. Do you understand non-maximum suppression?

The overall problem is related to common code operations.

Code question:

Randomly select m integers from an array of size n. It is required that each element has an equal probability of being selected, which requires programming.
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Origin blog.csdn.net/qq_40092110/article/details/109249540