Comments (2)
qbilius
commented on August 18, 2024
The Brain-Score repo you referred to and the repos it links have some explanations how to compute Brain-Score from model features. I agree those are not very straightforward to follow, but that's all we have at the moment.
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mschrimpf
commented on August 18, 2024
To get the full set of scores, you would submit the model to the Brain-Score platform. See here on how to do that and here for how this is implemented for CORnet. There are also examples for scoring models on e.g. the public benchmarks here for a generic model and here for a pre-defined model.
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Related Issues (16)
- Where's the comments? HOT 2
- A litter question about CORblock_S HOT 1
- TypeError: can't convert CUDA tensor to numpy. HOT 4
- Error when running test on CPU HOT 2
- What is the Brain-Score of CORnet-S? HOT 2
- ImageNet top-1 performance HOT 1
- CORnet doesn't complain but doesn't do anything either HOT 3
- CORnet-R and CORnet-RT give the same activations for all images - IT output HOT 3
- CORnet inconsistent vector length HOT 1
- hard-code GPU ordering
- note that R and S need to be trained on 2 GPUs
- can't train R and S on two Titan X with batch size 256 HOT 1
- fire complains despite success HOT 2
- mention number of workers for training in README
- training Z slow HOT 1
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