C value for SVM for VOC07

[sayannag]

"For VOC07 Everingham et al. (2010), we train a linear SVM with LIBLINEAR Fan et al. (2008). The images are center cropped and resized to 224 × 224, and the C values are computed with cross-validation." - this is from the VICReg paper by Bardes et al., ICLR 2022.

I am not being able to reproduce the results. It will be useful if the authors provided the code or the optimal C value which worked for them in this case.

[Adrien987k]

Hi,

I used the VISSL library (https://github.com/facebookresearch/vissl) with the following config file:
https://github.com/facebookresearch/vissl/blob/main/configs/config/benchmark/linear_image_classification/voc07/eval_resnet_8gpu_transfer_voc07_svm.yaml
So the C values are: [0.01, 0.1, 1.0, 2, 5, 10, 15, 20, 50, 100, 1000]

If you want to reproduce the results you need to install VISSL, and convert the pretrained ResNet-50 model to the VISSL format.