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when I use resnext-101-64f-kinetics-hmdb51_split1.pth model, dataset is hmdb51. should I choose which parameter for opt ？
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In the z_my_train_i3d_1_attention_gaze file, the models are loaded with the "_o" weights, but according to the paper the _o models contain "only 3D CNN inception V1, which is the flow (or RGB) stream …
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Hi,
thanks for sharing the code!
When I train the H-23D_R-CNN on KITTI dataset, I can not get the same results as reported in your paper. So I wonder whether I did something wrong...
I train…
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Hi Shaoyan, this is really an amazing work. When I try your code for non-conditional tasks, my output looks super weird. Have you ever seen this before? I would appreciate it if you could give me any …
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I have commented the following in the ModelOpt issues, but since there is more activity here, I would like to get feedback on this subject from more people.
First of all, if someone here has positi…
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Here is the code, modified from https://github.com/d-li14/mobilenetv3.pytorch/blob/master/mobilenetv3.py 's 2D MobileNetV3:
```python
import math
import torch
import torch.nn as nn
import torch.n…
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import torchvision
from torchvision.models.detection import FasterRCNN
from torchvision.models.detection.backbone_utils import resnet_fpn_backbone
from torchvision.models.detection.rpn import Ancho…
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Hi, your developed AttentionDTA is very useful for the Interpretability of DTA prediction task!
but I didn't find the corresponding Attention module from your published project
(eg. **_how to calcul…
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Thanks for the nice benchmark!
I am wondering how we could prepare data for 3D CNN, is there any function that generates density for it?