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@leonjessen I tried this variation of the model that treats the peptides as sequences (this is under the assumption that the order of the peptides actually matters, this may or may not be the case, yo…
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Hi,
I just had a few questions regarding using our own data and running inference using PENet pretrained weights.
1) How sparse can the depth map be?
Currently, my inference image is from the …
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I am using imagenet-vgg-s/m model for pre-training on my datasset. My case is binary classification so I am using opts.errorFunction = 'binary' in cnn_train.m and -1 and +1 as class labels. The batch…
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I'm relatively new to Python, so this may be a simple error to debug. However, I'm working through the example in the README to understand what the output of these models is like. My python version is…
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Hello,
as mentioned in the description, sklearn is used to split train/val/test data for each dataset. Has anybody tried to train and evaluate C3D model on the split 01 of UCF101? I gave it a try,…
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Hi, thank you for your excellent work. May I ask how you achieved the visualization of the clip vision in Figure 6 of your paper? I look forward to your reply and guidance.
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Hello there, \
I recently stumbled upon this repository and was interested in trying out your code. However, using single-threaded sklearn doesn't seem to be efficient to me, compared to using GPU-op…
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https://www.kaggle.com/c/google-ai-open-images-object-detection-track/discussion/65120
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Hi,
I'm trying to reproduce the multigrid result on ssv2. The config I'm using is:
configs/SSv2/SLOWFAST_16x8_R50_multigrid.yaml
The pretrained checkpoint I'm using is:
SLOWFAST_8x8_R50.pkl
…
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Anyone has interest to utilize the sparsity to accelerate DNNs?
I am working on the fork https://github.com/wenwei202/caffe/tree/scnn and currently, on average, achieve ~5x CPU and ~3x GPU layer-wi…