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large ds
patch -> family signature
adversarial samples (augmentation (img: scale, rotate, etc.)) -> test robustnesss
- GAN
- distillation method
- add pixels to the image - problem: they…
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Dear Mr. Gao
Thank you so much for the great work. However, I met some problems when I implemented this code.
As described in you article, "For the visual frames, we use an ImageNet pre-tra…
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Hi, everyone
I want to train tiny-yolov2 with VOC dataset.
VOC image size is 416*416 and use ./cfg/tiny-yolo-voc.cfg.
Where can I find pre-trained weight for tiny-yolov2 with VOC dataset
like b…
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I am trying to implement FCN from scratch on Pascal VOC 2012 after studying the [paper.](https://arxiv.org/pdf/1605.06211.pdf) But every time I try to train it memory goes out. I tried :
Reducing t…
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I try to train my own dataset with 5 objects. Previously, I trained successully using yolov3-spp with size 704*704 and the mAP stable at around 65%. I want to improve the accuracy, so I try to train y…
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Hi everyone,
Has anyone had success with training YOLOv3 for their own datasets? If so, could you help sort out some questions for me:
For me, I have a 5 class object detection problem. In the .c…
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Hi,
We are using the visualize_cam to visualize the learning of neural net (xception). We used the following code to generate heatmap and ovelays for about 5000 cross-validation images. We saw the ti…
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### 🐛 Describe the bug
```
import torch
import torch.nn as nn
class Model(nn.Module):
def __init__(self):
super().__init__()
self.attn = nn.MultiheadAttention(embed_di…
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as it supposed to be, increase input image size with improving AP, however, I got confusing results:
**Tiny**
```
mean average precision (mAP@0.50) = 0.470617, or 47.06 %
Total Detection Time:…
scstu updated
5 years ago
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All testing is for the Release (x86) configuration.
The master branch targets the v140 compiler. Retargeting to the v141 compiler make the rebuild much slower:
v140 compiler:
1> El…