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**Short Description**
ResNeXt is a pretty commonly used arch, had ~8k citations, and is oftentimes shown in comparison tables.
`torchvision` has ResNeXt as well. Might be a good fit.
**Other In…
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**Problem:** Deepfakes are being used for malicious purposes such as spreading fake news, blackmail, identity theft, reputation damage, etc., hence, its detection is crucial for companies to easily de…
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is there any layer which caffe isnot support? if there is , how to slover it?
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Hi, thanks for the wonderful repo!
I want to extract video features using the pre-trained model (resnext-101-kinetics.pth), but I got an out of memory errors (it shows it need 263G memory). Is there…
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Has anyone implemented the ResNeXt backboned version of Mask R-CNN and tested the results?
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Hi! Can you provide the weights to test SELSA with ResNeXt-101? I'm interested in replicating those results from the paper.
Thanks in advance!
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Hello!
Greaty results! How to generalization this layer for resneXt network with `groups != 1` in conv layers inside Bottleneck block?
n01z3 updated
5 years ago
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Hi,
i'm trying to load your pre trained ResNeXt-101 model, but i have some problems.
before i write this line (model = torch.load("resnext-101-kinetics.pth")) i should define the model ResNeXt-101, …
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Implement the block diagramed in figure 3a. from “[Aggregated Residual Transformations for Deep Neural Networks](https://arxiv.org/abs/1611.05431).”