vlomonaco / core50 Goto Github PK

Hello,

I am working with models in pytorch. This is an awesome benchmark. Can you help me benchmark my pytorch model? Can you help me set up this environment? Awesome work I'm kinda surprised no ones tried to get a good score on this.

Let's get a high score!

Best,

Aidan

Instead of
unzip $DIR/../../data/core50_128x128.zipfile.zip -d $DIR/../../data/

It should be
unzip $DIR/../../data/core50_128x128.zip -d $DIR/../../data/

Seems like your link is broken

wget http://bias.csr.unibo.it/maltoni/download/core50/core50_imgs.npz
--2021-02-04 12:54:18--  http://bias.csr.unibo.it/maltoni/download/core50/core50_imgs.npz
Resolving bias.csr.unibo.it (bias.csr.unibo.it)... 137.204.72.188
Connecting to bias.csr.unibo.it (bias.csr.unibo.it)|137.204.72.188|:80... failed: No route to host.

Hello Vlomonaco,
I would like to ask if you have ever trained on the entire dataset without CL? I tried to get some baselines but the accuracy is only around 50%. I already used the models which are from simple to complex, for instance, ConvNet, Resnet, and ViT but the accuracies are just around 50%.

Hi, the download URLs seem broken (HTTP ERROR 503 at 3/1/2023), could authors provide some other links (e.g., Google Drive) to download?

Hello,

In my understanding Table 2 in your paper, CORe50: a New Dataset and Benchmark for Continuous Object Recognition, is the result after only 1epoch training(Online Learning setting) on CORe50. Am I right? Or is it the result after multi-epoch training? If it is, how many epochs did you train?

Best,

Sunil