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Implementation of D3Net #57
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I'm not sure of # channels before frequency concatenation. DNN-based_source_separation/src/models/d3net.py Lines 107 to 109 in 48621f1
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What needs to be fixed
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Now, I updated D3Net architecture. |
Hello, @tky823. I participate in the Music Demixing Challenge (4th place on leaderboard A). I suggest you write a training script for D3Net and join a team with me. |
Hi, @lyghter. I'm now writing the training code. I am not sure if it will be available soon, but I plan to add it. |
The challenge will end on July 31st. If you write the training code this month, I will try to train the model and use it in my solution. Sony's nnabla implementation has too slow inference on CPU. It cannot be used in the challenge. |
I invite you to join my team and suggest you keep the new code private until the end of the challenge. |
I am currently 4th on Leaderboard A and 5th on Leaderboard B. Top-3 from A and top-3 from B will receive prizes. |
I'm not sure how my implementation of D3Net will work, so I don't know if I'll be able to participate anytime soon. If I can help, I will join your team. I work on other tasks for about a week. Maybe I will be able to join after that. |
@lyghter |
Reference: "D3Net: Densely connected multidilated DenseNet for music source separation"
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