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### Context
So far, when training models using several channels/contrasts (e.g. T1w, T2w), images need to be co-registered for each subject. This takes time and is prone to error. What if we would …
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Hi, thanks for your sharing.
When I tried to use multi-gpu to train Knowledge Distillation:
`python3 -m torch.distributed.run --nproc_per_node $N_GPU distillation.py ...`
I got the error:
torch.di…
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I have tested several anomaly detection repositories source code, and most of them didn't work. I have some advice for the upcoming code
# Essential
- [ ] Test it on a single purpose container l…
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Just as a quick link list, here is a list of ICLR Submissions using the keyword "Domain Adaptation". I guess waiting for the reviews makes sense before including them in the reading list.
# Unsup…
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Ideas to add are
- Train a larger model version
- Use SAM as teacher model
- Add Satellogic data to reduce bias on high res training
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请提供下述完整信息以便快速定位问题/Please provide the following information to quickly locate the problem
- 系统环境/System Environment:ubuntu 18.4
- 版本号/Version:Paddle:2.51 PaddleOCR:2.7 问题相关组件/Related components:
…
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Hi ,
Highly appreciated your amazing work.
The dataset in your data folder are for text classification purpose.
What is the data format and data preprocessing for NER task?
Thanks…
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hello. l am a college student studying deep learning in Korea.
i read your paper impressed.
i was wondering while reading the paper. did you scale each loss (depending on network depth) when con…
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# Vision Transformer Adapter for Dense Predictions
Info.
- ICLR 2023 spotlight
- https://github.com/czczup/ViT-Adapter
- https://arxiv.org/abs/2205.08534
### Summary
- plain ViT
- whi…
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Can create separate branch for TTS implementation, that's the ultimate goal for every neural vocoder. I will try to use this implementation with nvidia's Tacotron2, as preprocessing for both networks …