The parameter of the tracking loss
Opened this issue · 2 comments
Thank you for your nice work!
Since the training code of QueryTrack is not released, I hope you can share the following training details with me:
- What are the meaning of
$\alpha_t$ and$\gamma$ in the formula(7) (the definition of the tracking loss) - Is there any document about your contrastive focal loss?
Thanks again.
Thank you for your nice work!
Since the training code of QueryTrack is not released, I hope you can share the following training details with me:
- What are the meaning of
$\alpha_t$ and$\gamma$ in the formula(7) (the definition of the tracking loss)- Is there any document about your contrastive focal loss?
Thanks again.
In form, our contrastive focal loss is a focal loss with softmax function (Eq.5-Eq.7).
Thank you for your nice work!
Since the training code of QueryTrack is not released, I hope you can share the following training details with me:
- What are the meaning of
$\alpha_t$ and$\gamma$ in the formula(7) (the definition of the tracking loss)- Is there any document about your contrastive focal loss?
Thanks again.
$\alpha_t$ and$\gamma$ is the same as$\alpha$ and$\gamma$ in focal loss.In form, our contrastive focal loss is a focal loss with softmax function (Eq.5-Eq.7).
Thank you!
By the way, I have another question. During the calculation of losses['loss_cls']
in class DIIHead, the value of label_weight is always 1:
label_weights[pos_inds] = pos_weight
label_weights[neg_inds] = 1.0
However, when calculating avg_factor
, only positive samples are included. Could you please tell me why? Thanks a lot!