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Please view the [Milestone](https://github.com/department-of-veterans-affairs/va.gov-team/milestone/1413) for all feedback and findings tickets associated with this Collaboration Cycle initiative.
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Hello,
I appreciate your well-structured code base and nice work.
I have tried reproduction for C3 performance reported in Table 2.
However, I got results slightly lower than table 2.
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https://doi.org/10.1101/094276
> Objective: The advent of Electronic Medical Records (EMR) with large electronic imaging databases along with advances in deep neural networks with machine learning …
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@stnava
Running within container on t2.xlarge EC2 instance with Amazon Linux 2 OS.
Input is a T1w nii.gz and uses the S_template3_resampled.nii.gz template provided in the repo.
The call t…
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## Motivation #
There is significant interest in vLLM supporting encoder/decoder models. Issues #187 and #180 , for example, request encoder/decoder model support. As a result encoder/decoder supp…
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Oral:
- [x] Self-Similarity Grouping: A Simple Unsupervised Cross Domain Adaptation Approach for Person Re-Identification Yang Fu, Yunchao Wei, Guanshuo Wang, Yuqian Zhou, Honghui Shi, Thomas S. Hu…
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## Context
"Multi-context" or "Universal" libraries refer to libraries sharing the same name, but enabled in different dune build contexts (through `(enabled_if (=%{context_name} ...))`). Support f…
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hi , thanks for your great work!
I want to increase the range, [-15.0, -30.0, -2.0, 60.0, 30.0, 2.0], I modified "MapTRNMSFreeCoder" and point_cloud_range, but the result is not very good, can you gi…
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May I ask if you can send me the complete code in the paper? For learning and research purposes only, thank you very much!
email:ymengjiang@163.com