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Spatial Transformers act as a warping / attention mechanism useful for a variety of tasks.
There's a handful of repositories implementing STN for Caffe, see https://github.com/BVLC/caffe/issues/3114
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beniz updated
6 years ago
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I am trying to finetune dinov2 for image classification on a custom dataset (medical image dataset) with the objective of increasing accuracy. The problem is that when I use linear evaluation I get an…
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how is clip performing on global information detection? For example, finding whether an image is noisy-corrupted, downsample-d or hazy, and furthermore, choosing the right corruption parameters like n…
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# YOLO V2
## Reference
- 2015 **YOLO V1** You Only Look Once: Unified, Real-Time Object Detection [[paper](https://arxiv.org/pdf/1506.02640.pdf)] [[netscope](http://ethereon.github.io/netscope/#…
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First of all Amazing architecture, This architecture can get Amazing results on many other applications.
I see that we are resizing images to 320x320 won't it affect edges for wider aspect ratios lik…
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related paper
|摘要|
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|Recently, very deep convolutional neural networks (CNNs) have shown outstanding performance in object recognition and have also been the first choice for dense classific…
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Hello, In your paper, I think if use appearance space of id **I** and structure space of id **J** to generate an image. The ID of generated image should be **J**. So I think the structure space encode…
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I refered to your and Hao Mood's code and trained the BCNN model fine tuning all layers,
and the best test accuracy I can reach was ~73%/~61% with and without pretrained VGG16.
Is it easy to reach t…
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build_hdf5_image_dataset(new_train, image_shape=(488, 488), mode='file', output_path='new_train_488.h5', categorical_labels=True, normalize=False)
In your code :
sess = tf.Session()…
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### Description
It would be helpful if certain resources in Keycloak could have arbitrary tags in the form of key/value pairs.
This would be similar to tags in [AWS](https://docs.aws.amazon.com/…