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About Widerface #8
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We simply adopt the same settings in TinaFace, as well as the test-time augmentation. Note that you may need to add clip_gradient to stabilize the training process. |
And you may need to borrow some code from https://github.com/Media-Smart/vedadet where mmdet does not implement, like data augmentation. |
I added three innovative points in ddod to tinaface before, and the other settings did not change, but the experimental accuracy decreased, especially the "atss_cost_assigner". However, I did not use clip_gradient in this process. |
Yes, if clip_gradient is not added, the result is quite bad, perhaps 89/90? I did not remember exactly. We infer that the reason mainly stems from the vast small gt boxes in WiderFace. |
Yes. If not, maybe 10 for max_norm. The loss will be quite different from the one without clip_gradient at the very beginning of the training. |
Thank you very much for your patience. |
How is anchor set when ddod is applied to widerface?(including base_sizes, ratios, scales_per_octave, octave_base_scale)
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