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Hey guys,
I hope you are doing great. `onnxconverter_common.auto_mixed_precision.auto_convert_mixed_precision` takes forever, I let it run for 15m and is still more or less half way. Any idea why? …
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Going to try and add a set of default `*/lindsey.yaml` configs for sweeping through the Lindsey et al results. Beyond just having those results on hand, it'll serve the purpose of having a set of simu…
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Hello, I am recently been working on 3D reconstruction. I tried to run your 3D-C2RT project. I just replaced the CNN encoder with ConvNeXt-Large which has better representation ability, as well as mod…
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I read your neural network diffusion paper and it was great and had a lot to say about us. I would like to try to reproduce them and have reproduced the case of resnet18 so far. I see that your paper …
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It seems there is a error when I try to start the first docker build.
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It seems that various backbones obviously affect the final MAP score.
Since ConvNeXt-XL surpass Swin-L on ImageNet-22k, it is curious that have you ever tried to utilize it for improving.
I notice t…
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after i update to mmsegmentation 1.x, it can't use the config "convnext-large_uprnet_upernet_8b2-amp-160_ade20k-604x604.py"
due to its backbone's type (mmcls.ConvNeXt)!
mmsegmentation uses mmcv 2.…
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**Describe the issue**:
AssertionError, while speeding up Convnext model.
**Environment**:
- NNI version: 2.10
- Training service (local|remote|pai|aml|etc): remote
- Server OS (for remote m…
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# Describe the feature
**Motivation**
A clear and concise description of the motivation of the feature.
Since ConvNeXt-V2 has been released for a while, could you release ConvNeXt-V2 configs?
ht…