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I have paired IR and RGB traffic images (video sequences). My goal is to achieve IR colorization at night. The effect is the same as that of RGB in the daytime. **I have tried many methods, such as cy…
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I noticed that CREPE seems to be trained on sample data in 16kHz. I want to use this in an open source karaoke software I am working on which is designed to run on limited embedded hardware and so doi…
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TL;DR: The path requirement on augmentations disallows augmentations in sibling parts. We should consider making that a lint, not a language requirement.
The specification of "Parts with imports" (…
lrhn updated
3 months ago
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Hi, @usimarit
In 'datasets/asr_dataset.py' line 141 u called line 41 of 'augmentations/augmentation.py', which is calling
self.signal_augmentations = self.parse(config.pop("signal_augment", {}))
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Back translation involves the use of monolingual data to generate more training data for MT task. A backward intermediate model is trained on the available corpora and then used to generate synthetic …
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Hi! We are following your excellent work.
We would like to know more clearly the details of your experiments on CIRAR-100 to calculate `Forward Transfer`, such as how the accuracy of the **random m…
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hello. I currently work in a medical institution. I referenced your code and was able to achieve 84-85% performance. But I don't know how to improve the performance further here. I tried using a diffe…
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Q1. I confirmed there are many hyper-parameters related to data augmentation in config file.
For example, (saturation=1.5, exposure=1.5, hue=.1, jitter=0.3, scales=.1,.1 and so on).
But, I don't kno…
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Ref. 21 for LSTM-EGO in the paper bring me to the last year IROS paper: "Benchmarking Augmentation Methods for Learning Robust Navigation Agents: the Winning Entry of the 2021 iGibson Challenge". Howe…
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As we've started adding more and more "annotations" to painless's method whitelist we're bumping into the need for annotations to validate *things*. Mostly its that some annotations only fit on certai…