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Dear @rcuocolo
First of all thank you for your wonderful and great work.
at the beginning i did not understand what are doing via this work but then i found it like a treasure. I am new in medical …
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Hi there, is the architecture of UNet you reported in your paper similar to blind spot UNet in High-Quality Self-Supervised Deep Image Denoising paper or just a simple UNet in medical image segmentati…
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I propose that Dice Score/Loss (also known as F1-score or Sorensen score) is added as a metric and loss function as these are very commonly used in image segmentation or bounding box problems. Within …
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Hello, I am new here and I have a question to ask.
I want to train a model with only one category.
## What I MODIFIED
1. I expand my own data set based on the cityscapes data set format.
``…
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In the stable docs (from [this deleted line/file](https://github.com/imageio/imageio/pull/648/files#diff-4e110082654b8472d19076b2410d18e6bb42ef81d2cc53ee4e0a7eb54365085aL159)) there is this page that …
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##### System information (version)
- OpenVINO=> 2021.3
- Operating System / Platform => Windows 64 Bit
- Compiler => Python 3.7.9
- Problem classification => accuracy checker
- Framework: dlsdk
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Hello, I am new on adversarial attacks, I checked nearly all the examples. Especially Mnist examples look super easy to apply. However, I want to attack some segmentation models for medical images. I …
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Hey dear @lkeab
Thanks for this work. I want to use BCNet, but I only have about 1000 RGB images and their ground truth images. There is no problem with training with object detection such as Faster…
ghost updated
3 years ago
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Now I have converted my datasets format to coco format, andI want to train my own datasets using FCOS. I referenced [GETTING_STARTED.md in mmdetection repo](https://github.com/open-mmlab/mmdetection/b…