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Dear all,
Many thanks for the great tool and help on GitHub. I run Vireo and the results looks very promising (single cell RNAseq | mode 1a with genome 1k).
I am now wondering which variants …
flde updated
6 months ago
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Hello I want to ask one question about your paper.
You say you use a pooling size of 7 × 7 (where k = 7) for classification, so "light-weight offset prediction only requires a k/2 ×k/2
sized RoIAlig…
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Eric Tzeng, Judy Hoffman, Kate Saenko, Trevor Darrell
University of California, Berkeley, Stanford University, Boston University
https://arxiv.org/abs/1702.05464
# 概要
分類モデルを転移学習して用いる際のバイアス…
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**Original article:** The Discriminative Kalman Filter for Bayesian Filtering with Nonlinear and Non-Gaussian Observation Models
**PDF URL:** https://github.com/Josuelmet/Discriminative-Kalman-Filt…
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https://arxiv.org/pdf/1702.05464.pdf
Adversarial learning methods are a promising approach to training robust deep networks, and can generate complex samples across diverse domains. They also can i…
leo-p updated
7 years ago
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Hello, I have a question: After I executed model_inference.py and got the results, do I need to use my own model to infer all the questions before executing llm_eval.py? What will the result be after …
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Hello, as mentioned in the article, similar people, the corresponding block is similar, if one image is another image rotating 180 degrees, so the characteristics of the corresponding position can not…
wtskk updated
4 years ago
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HI,
I only want to see this discriminative feature, but the size I obtained is (400,16,256). How can I display the image of this discriminative feature, as shown in your article.
Thanks a lot.
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Hi
Thanks for your time to gathering this helpful library.
I tested some ReID-specified methods. Sometimes the scores are so close. Hence, it is difficult to work with open-set Re-ID.
I found PCB …
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In Section 5.4.3 " We find that assign a lower learn- ing rate to the lower layer is effective to fine-tuning BERT, and an appropriate setting is ξ=0.95 and lr=2.0e-5."
Compared to the code in [htt…