Recent Posts

Hide-and-Seek

7 minute read

“Hide-and-Seek: Forcing a Network to be Meticulous for Weakly-supervised Object and Action Localization” proposed a weakly-supervised framework to improve ob...

Loss Functions

3 minute read

When we train a deep learning model, we need to set a loss function for minimizing the error. The loss function indicates how much each variable contributes ...

Attention Is All You Need

5 minute read

The paper “Attention is all you need” from google propose a novel neural network architecture based on a self-attention mechanism that believe to be particul...

Optimization

13 minute read

It is always important what kind of optimization algorithm to use for training a deep learning model. According to the optimization algorithm we use, the mod...

Vision Technique

2 minute read

Research on several vision techniques such as pixel difference and optical flow.

Approximate Inference

3 minute read

Approximate inference methods make it possible to learn realistic models from big data by trading off computation time for accuracy, when exact learning and ...

Autoencoder

8 minute read

Autoencoder is an artificial neural network used for unsupervised learning of efficient codings. The aim of an autoencoder is to learn a representation (enco...