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I want to train CoCosNet for other datasets, however, I'm not sure how the similar reference image for ADE20K dataset (ade20k_ref.txt) is generated. Could you elaborate on it more? Thanks!
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你好,还是问一个小白的问题:
单卡3060,用SegnNexXt-t模型在ADE20k上得出的结果如下:
--train.py
![image](https://user-images.githubusercontent.com/92011326/203728479-fbee0072-4831-4db5-b8be-55426e2c78b8.png)
--test.py
![image…
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Hi, thanks very much for your nice work. currently, I just follow your instructions and it reports that :
Archive: ADE20K_2016_07_26.zip
End-of-central-directory signature not found. Either this…
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作者你好,对于EVA02-Large,使用开源的参数eva02_L_pt_m38m_p14to16.pt以及按照给出的指示进行语义分割训练,论文给出的mIoU结果是59.8,而自己本地复现只有58.9的结果,请问可能是什么问题呢?
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## 🚀 Feature
Support ADE20k for semantic segmentation with deeplabv3+
## Motivation & Examples
This will be helpful when people need to benchmark different self-supervised learning method, sinc…
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When I run the test demo, I found a problem.
ADE20K_2016_07_26/index*.mat can not be found.
I think I have downloaded all the datasets you provided, but I still don't know where is the file index*.…
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Great work! I have a question as following: As I have low GPUs, how can I train my dataset with your huggingface checkpoint repo LISA-13B-llama2-v1, instead of training from LLaVA version with all the…
Wbzb updated
4 months ago
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Hello, I have read the part of your paper regarding the synthesis of training datasets. I noticed that you mentioned obtaining 164K segmentation-image-caption pairs from the ADE20K dataset using image…
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Hi, I am looking for the 22k-supervised fine-tuning ConvNeXt-V2-H model without 1k-supervised fine-tuning. I want to use it to fine-tune on ade20k, reproducing the result in Table 7 of the paper.
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### System information
- **What is the top-level directory of the model you are using**: deeplab
- **Have I written custom code (as opposed to using a stock example script provided in TensorFlow)**:…