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daodaofr / hypergraph_reid

Code for CVPR 2020 paper Learning Multi-Granular Hypergraphs for Video-Based Person Re-Identification
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About the mutual information #10

Closed peterzpy closed 3 years ago

peterzpy commented 3 years ago

Hi! As shown in table1, the mutual information module improves the performance well. But I can't find the implementation of this module in your code. Since the general mutual information estimators can only get the lower bound of the real mutual information, I have no idea how do you minimize the mutual information between different parts. Do you use the methods like CLUB to model the upper bound of the mutual information? Looking forward to your reply, thx!

daodaofr commented 3 years ago

We intially employed the L1Out formulation to estimate the mutual information, as in On Variational Bounds of Mutual Information. But as shown in our pretrained model, with suitable hyperparameters, the model without mutual information can achieve comparable performance. So mutual information may not be necessary for our model.

peterzpy commented 3 years ago

Well, thanks for your reply.