Have anyone tried to evaluate Resnet 101 image classification checkpoint (trained on V2 data) on the validation set?
I got a weird result: only 26 MAP score which contradicts with this paper Learning From Noisy Large-Scale DatasetsWith Minimal Supervision where they got 61 MAP on V1 dataset.
Could it be because I resize the image to the maximum size of 256 when downloading them?
Have anyone tried to evaluate Resnet 101 image classification checkpoint (trained on V2 data) on the validation set? I got a weird result: only 26 MAP score which contradicts with this paper Learning From Noisy Large-Scale DatasetsWith Minimal Supervision where they got 61 MAP on V1 dataset. Could it be because I resize the image to the maximum size of 256 when downloading them?
Thanks in advance.