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HaoMood avatar HaoMood commented on August 27, 2024

In many research papers, bilinear CNN (or bilinear pooling) is often implemented on VGG-16. One reason is that ResNet has too many channels, such that the bilinear result is extremely high dimensional (e.g., 2048*2048). Anyway, modify the code in this repository to change the backbone to ResNet is not hard. You may try it as your hands-on experience.

from bilinear-cnn.

abcdvzz avatar abcdvzz commented on August 27, 2024

In many research papers, bilinear CNN (or bilinear pooling) is often implemented on VGG-16. One reason is that ResNet has too many channels, such that the bilinear result is extremely high dimensional (e.g., 2048*2048). Anyway, modify the code in this repository to change the backbone to ResNet is not hard. You may try it as your hands-on experience.

Have u ever tried to do the experiments on resnet? I cannot make it converge.

from bilinear-cnn.

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