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La red debe estar implementada en
- [x] Tensorflow
- [ ] Pytorch
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relatea paper
|摘要|
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|Recent work has made significant progress in improving spatial resolution for pixelwise labeling with Fully Convolutional Network (FCN) framework by employing Dilated/At…
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- [ ] https://medium.com/@jonathan_hui/object-detection-speed-and-accuracy-comparison-faster-r-cnn-r-fcn-ssd-and-yolo-5425656ae359
- [ ] https://www.kaggle.com/maheshdadhich/detectors-for-obj…
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I am wondering if it is good to let the modules to support taking modules as input so as to dynamically adjust the parameters accordingly.
For example, in Fully Convolutional Neutral Network (or Fas…
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The research group of the challenge tells us:
- [AI4SeaIce: Toward Solving Ambiguous SAR extures in Convolutional Neural Networks for Automatic Sea Ice Concentration Charting](https://ieeexplore.ie…
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Keras's implementation of Convolutional LSTM (https://www.tensorflow.org/api_docs/python/tf/keras/layers/ConvLSTM2D) uses `recurrent_intializer = orthogonal` to avoid exploding gradients.
This impl…
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Thanks for sharing. I'm refining my implementation of FCN-VGG16 using KITTI road dataset. But I don't find there are so many test images in the test set. There are just a couple hundred of them. I tri…
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Hello! Thank you so much for the contribution of this repo.
I'm so interested in this work, and I'm suveying papers with key words like "captioning anything" or "instance level captioning" or "per pi…
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I have a nice cnn that is trained on 32x32 patches as per the CIFAR-10 example elsewhere (3 convolution layers, 3 pooling, followed by fully connected and softmax). I want to apply this to overlappin…
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7/8 Optimization 방법론
- Optimization 방법론의 발전
- Gradient Descent Algorithm
- 어떠한 함수의 최소점을 찾는것
- 함수의 공간은 파라미터, 파라미터 갯수가 엄청나게 늘어나면 함수 형태 파악 불가능
- 파라미터의 기울기만을 알고 있다고 가정(코스트 함수를 최소화 하기 위해, 코스…