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> BEBLID (Boosted Efficient Binary Local Image Descriptor) is a efficient binary descriptor learned with boosting. It is able to describe keypoints from any detector just by changing the scale_factor …
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### Cautions:
**Before starting the task, please refer to [Add data of ML-YouTube-Courses](https://github.com/orgs/ocademy-ai/projects/3/views/1?filterQuery=label%3Adata&pane=issue&itemId=36101499)…
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related paper
|摘要|
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|Deep learning has considerably improved semantic image segmentation. However, its high accuracy is traded against larger computational costs which makes it unsuitable fo…
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`torchaudio` is an extension library for PyTorch, designed to facilitate audio processing using the same PyTorch paradigms familiar to users of its tensor library. It provides powerful tools for audio…
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This is something in between a bug report and a feature request about how ROI is handled in `sits_cube`.
1. The documentation says that the `roi` argument of `sits_cube()` accepts an `sf` object, s…
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Hello, and thanks for such a great contribution to the field of interleaved LMMs! This is really great work. I was wondering if there was an example of the format for multiple image or multiple video …
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https://doi.org/10.1101/211060
> The relationship between cellular architecture and cellular state and function is apparent, but not yet completely understood. Precise characterization of cellular …
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## Reference
- 2015 **SHA - Successive Halving Algorithm** [Non-stochastic Best Arm Identification and Hyperparameter Optimization](https://arxiv.org/abs/1502.07943)
- 2018 **ASHA** [A System for Ma…
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## 🚀 Feature
I would like to extract the skeleton from an image (in morphological terms, it involves reducing foreground regions in a binary image while preserving the extent and connectivity of …
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Create your own Deep customized deep learning model.
It gives your flexibility to use steps required for building a deep learning model
You will able to control parameters use for builuding the model …