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linyq2117 / CLIP-ES

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Clarification on Deeplab Model Configuration and Pre-training #10

Closed cskyl closed 1 year ago

cskyl commented 1 year ago

Hi, Thank you for sharing your research and codebase with the community. I'm currently working on replicating the results and have a query regarding the Deeplab model's setup. In your repository, it's mentioned that your Deeplab training code is adapted from deeplab-pytorch. I wanted to clarify if you strictly adhered to the default Pascal VOC configuration settings provided in that original repository. Additionally, did you utilize the pre-trained model (pretrained on COCO) that the repo offers, or did you employ a different configuration or pre-trained models for your experiments?

Thank you for your time and assistance!

linyq2117 commented 1 year ago

Hi, thanks for your interest,

We provide the detailed setting in our paper (Appendix D). You can also find more details in this issue.

cskyl commented 1 year ago

Hi, Thank you for pointing me in the right direction. I'll review Appendix in your paper and the mentioned issue for further details. I appreciate your prompt response.

Best regards, TC

From: linyq2117 @.> Sent: Tuesday, September 19, 2023 1:08 To: linyq2117/CLIP-ES @.> Cc: cskyl @.>; Author @.> Subject: Re: [linyq2117/CLIP-ES] Clarification on Deeplab Model Configuration and Pre-training (Issue #10)

Hi, thanks for your interest, We provide the detailed setting in our paper (Appendix D). You can also find more details in this issue. — Reply to this email directly, view it on GitHub, or unsubscribe. You are receiving this because you

Hi, thanks for your interest,

We provide the detailed setting in our paper (Appendix D). You can also find more details in this issuehttps://urldefense.com/v3/__https://github.com/linyq2117/CLIP-ES/issues/7*issuecomment-1554728146__;Iw!!KGKeukY!wlih_K2rZ3ZEoD3W8RrMrp7YrENMTn7q8jWzlsPYrAzCjrneUEWC0z18suhm3aHYh5H95s1ilf00WHPZL7PZwa0RweMQ$.

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