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1.Delving Deep Into Hybrid Annotations for 3D Human Recovery in the Wild(2019)
In annotations used for input and supervision, dense correspondence can be more effective, or achieve same results when …
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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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Hello, thanks for your great work,
I want to know where is the PoseNet CNN that you used to train the sheep. The pre-trained weights are available but I am not finding the network that uses these w…
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Hi, Neeilan,
I watch the model code roughly. I think this method is just using a 3D-CNN classifier. That is, give some video as input and labels as output for CNN and force it to fit the dataset un…
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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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[e3nn](https://www.connectedpapers.com/main/c7215ab4589ce3590910c597e86b1aba8e460d49/e3nn%3A-Euclidean-Neural-Networks/graph)
```mermaid
flowchart TD;
A[Freeman,1991\nThe design and use of stee…
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How to visualize 3D CNN? For example, the visualization of thermodynamic diagram.
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amax@amax:/media/amax/Masters/Hairen/ActionRecognition/3d-cnn-action-recognition/3d-cnn-action-recognition-master$ python3 3dcnn.py --batch 32 --epoch 50 --videos dataset/ --nclass 10 --output 3dcnnre…
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Hello
very nice woks !
I do also struggle with spatial shift sensitivity of my 3D CNN and I would like to test your solution.
Is someone aware of a 3D implementation of those filter ? or can you …
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## タイトル: 空間-時間 Transformer を用いた、3次元衣服を着た人間の単眼復元の曖昧性解消
## リンク: https://arxiv.org/abs/2410.16337
## 概要:
一枚のカメラ画像から衣服を着た3D人間の形状を再構成することは、視点の制限と画像の曖昧性のために非常に困難です。パラメトリックモデルの事前知識を組み合わせた陰関数ベースのアプローチは大きな…