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Hi,
I'm really impressed by your good work.
As shown Fig3, I want to depict the effective receptive field like you.
Could you share the method?
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# Dense Prediction API Design, Including Segmentation and Fully Convolutional Networks
This issue is to develop an API design for dense prediction tasks such as Segmentation, which includes Fully C…
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Hi, Dr liu:
Thanks for your attention.
I'm try to implament this work with tensorflow. After train I find that side_output 1-4 look like the result in your paper, but output 5 is bad. Can't …
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##### System information (version)
- OpenCV => 3.3
- Operating System / Platform => Ubuntu 16.10
- Compiler => gcc 6.3
##### Detailed description
I created a DNN network in Keras, very simila…
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Apologies for such a simple question: Can (and how) can I use scikit-multilearn on images (probably JPEGs)? Thanks!
jtlz2 updated
6 years ago
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I'd like to use keras to build a 1D convolutional net with pooling layers on some textual input, but I can't figure out the right input format and the right number of incoming connections above the fl…
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While running the softmax benchmark:
https://github.com/mratsim/Arraymancer/blob/8d81857081724bc81625232b1457c06294541d62/benchmarks/implementation/softmax_cross_entropy_bench.nim#L165-L177
```
…
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Published: https://doi.org/10.1186/s13059-017-1189-z
Preprint: https://dx.doi.org/10.1101/055715
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I am solving an NLP task and I am trying to model it directly as a sequence using different RNN flavors. How can I use my own Word Vectors rather than using an instance of layers.embeddings.Embedding?…
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**Output of 'strings libarm_compute.so | grep arm_compute_version':**
arm_compute_version=v18.03 Build options: {'embed_kernels': '1', 'opencl': '1', 'pmu': '1', 'arch': 'arm64-v8a', 'standalon…