You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Hi,
I am looking for ImageNet pretrained weights of the YOLOX backbone. I am specifically interested in the largest model YOLOX-x. In a couple of other issues I've seen that nano version can be trained from scratch for the same performance, but there is no information about the x version.
Overall, does ImageNet training not help at all? If there are no pretrained weights but ImageNet pretraining does help, I will invest time into training the model myself. So, I'd really appreciate your help @FateScript
Thank you in advance
The text was updated successfully, but these errors were encountered:
Hi, @ocetintas If you train your network with enough epoch/iter/data, the performance will be nearly the same. The effect of imagenet pretraining is making your network achieve a modest performance with less epoch/iter/data.
However, to achieve a best performance, imagenet pretraining couldn't help much.
Hi,
I am looking for ImageNet pretrained weights of the YOLOX backbone. I am specifically interested in the largest model YOLOX-x. In a couple of other issues I've seen that nano version can be trained from scratch for the same performance, but there is no information about the x version.
Overall, does ImageNet training not help at all? If there are no pretrained weights but ImageNet pretraining does help, I will invest time into training the model myself. So, I'd really appreciate your help @FateScript
Thank you in advance
The text was updated successfully, but these errors were encountered: