Xavier Soria Poma

> I used my idea to validate the BIPED dataset of the DexiNed(https://github.com/xavysp/DexiNed/tree/master/DexiNed-Pytorch), I got the result:ODS=0.868, OIS=0.877, AP=0.844. Comparing with the result of the paper:ODS=0.857, OIS=0.861, AP=0.805, I found...

> [RCF-pytorch/models.py](https://github.com/meteorshowers/RCF-pytorch/blob/5efe8046f92f271142fcc3b9f0b8f4303cc4066a/models.py#L209) > > Line 209 in [5efe804](/meteorshowers/RCF-pytorch/commit/5efe8046f92f271142fcc3b9f0b8f4303cc4066a) > def make_bilinear_weights(size, num_channels): > > Nice work! > > Function `make_bilinear_weights` makes me confused, could you give us more information or...

[here](https://github.com/meteorshowers/RCF-pytorch/issues/10) had provided some good person :) cheers!!! (I do not know if it is the official one)

Hi, to see this difference, quantitatively, its hard to say. we need a new way, or metric for evaluation. For a perceptual judgement, you can find [our banner](https://github.com/xavysp/DexiNed/blob/master/figs/DexiNed_banner.png). When the...

I agree with you. However, when I started in Edge detection, I started tackling the most important problem, which is Dataset for edge detection. Once this problem is solved or...

Hi, welcome on board. did you check issue: Evaluation index of edge detection #32

Let me know if you have further questions

Hi, it depends to the dataset, on BIPED for example you can stop in 9-13 epochs

> Hi, I have a doubt that Bsds edges predicted by Biped dataset training are better, but Bsds metrics are lower during evaluation. Is this because of the gt value...

Hi, thanks for interesting on DexiNed, there is not much difference, but I have not investigated properly, that is why I didn't report this part in the Paper. It could...