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Hi, Dr. Sun,
Could you present an example for 3D-CNN training and testing ? Just like CNN training.
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Hi, I am interested in the performance of using 3d CNN without casual for VAE training, and corresponding results of generation. As I understand, the propose of Casual3dCNN is for autoregressive model…
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https://github.com/BubblyYi/Coronary-Artery-Tracking-via-3D-CNN-Classification/blob/976542c070c5e041b87ddb2d75876a4d6acfebfe/data_process_tools/utils.py#L123
Hey,
I am just wondering if you cou…
PJPDQ updated
2 years ago
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Do you provide any pretrained models for 3D CNNs?
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How should I build my own EPN3D dataset to train the model, and do I need to de-noise, downsample, etc. before training the model, thanks for your contribution.
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Traceback (most recent call last):
File "main.py", line 161, in
p.start()
File "/home/fh/3D-Local-CNN-for-Gait-Recognition/solvers/solver.py", line 55, in start
return mode()
File …
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Hi,
I am testing Li's 3D CNN network on IndianPines dataset. In table III in disjoint mode, you have an accuracy of 75%. I can't reach more than 65%.
- Are the default parameters of the network (lr …
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## Tasks
- [x] Video classificaiton
* [x] 2D CNN (RGB, Two-stream CNN)
* [x] 3D CNN (I3D)
* [x] TSN sampling
- [x] Temporal Action Detection
* [x] SSN
* [ ] TAG proposal (v0.2)
*…
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### Deep Learning Simplified Repository (Proposing new issue)
:red_circle: **Project Title** : Parkinsons Vision Based Pose Estimation
:red_circle: **Aim** : The goal of this project was to use feat…
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> Convolutional neural networks (CNN) have been successfully used to handle three-dimensional data and are a natural match for data with spatial structure such as 3D molecular structures. However, a d…