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Implement Yolo-LSTM detection network that will be trained on Video-frames for mAP increasing and solve blinking issues.
* https://arxiv.org/abs/1705.06368v3
* https://arxiv.org/abs/1506.04214v2
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## Keyword: sgd
There is no result
## Keyword: optimization
### Joint Information and Mechanism Design for Queues with Heterogeneous Users
- **Authors:** Authors: Nasimeh Heydaribeni, Achilleas Ana…
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## Motivation
Neural models in recent years have been successful in almost every field including extremely complex problem statements. However, these models are huge in size, with millions (and billi…
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Hi,
Can you please explain Table.1?
I mean what does `720*3` vids, `140*3` vid and `140*3` represents for all train, val and test datasets?
I am unable to understand the video split?
Secondly, can…
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Hi,
Thanks for the paper and the code contribution. Nice work!
One question: could you please point out the code reference for the "scene-guided occlusion identification (scene guidance + 3D gua…
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I am using Innvestigate 2.0.0 and want to explain ECG classifications with guided backpropagation.
My model has the form:
#Pre
nb_classes = 3
n_feature_maps = 64
input_layer = keras.layers.Inp…
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I have a model, for which i need to compute the gradients of output w.r.t the model's input. But I want to apply some custom gradients for some of the layers in my model, which can be tedious to build…
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Dear Mr. Nishimura,
I have been reading your paper with interest and decided to look into the implementation (thank you very much for providing legible code) of the region backprop as defined in Eq.…
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Hi,
In the Readme you have shown the result of Combining Grad-CAM with Guided Backpropagation for the pug dog class.
May I please as for the help how can I do the same in [these ](https://github.c…
Mshz2 updated
2 years ago