This repository has been archived by the owner on Mar 22, 2021. It is now read-only.
Dev corrections #18
Merged
Dev corrections #18
Conversation
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
kamil-kaczmarek
commented
Jul 30, 2018
| |solution 2|*four leaf clover* :four_leaf_clover:|0.794|0.798|[Deeper unet with smart augmentations](https://github.com/neptune-ml/open-solution-salt-detection/wiki/TODO)|| | ||
| | link to code | CV | LB | | ||
| |:---:|:---:|:---:| | ||
| |[solution 1](https://github.com/neptune-ml/open-solution-salt-detection/tree/solution-1)|0.413|0.745| |
There was a problem hiding this comment.
@jakubczakon are you sure CV is 0.413 ?
There was a problem hiding this comment.
Yup we had an error in metric and that was what it was reporting :)
jakubczakon
approved these changes
Jul 31, 2018
jakubczakon
added a commit
that referenced
this pull request
Oct 13, 2018
* Hypercolumn (#16) * fixed lovash loss, added helpers for loss weighing (#14) * updated results exploration, added unet with hypercolumn * updated with lighter hypercolumn setup * Model average (#17) * added prediction average notebook * added simple average notebook * added replication pad instead of zero pad (#18) * changed to heng-like arch, added channel and spatial squeeze and excite, extended hypercolumn (#19) * Update unet_models.py typo in resnet unet fixed * added resnet 18 an50 pretrained options, unified hyper and vanilla in one class (#20) * Update models.py Changed old class import and namings * Loss design (#21) * local * initial * formated results * added focal, added border weighing, added size weighing added focus, added loss desing notebook * fixed wrong focal definition, updated loss api * exp with dropped borders * set best params, not using weighing for now * Dev depth experiments (#23) * add depth layer in input * reduce lr on plateau scheduler * depth channels transformer * fix reduce lr * bugfix * change default config * added adaptive threshold in callbacks (#24) * added adaptive threshold in callbacks * fix * added initial lr selector (#25) * Initial lb selector (#26) * added initial lr selector * small refactor * Auxiliary data small masks (#27) * exping * auxiliary data for border masks generated
Sign up for free
to subscribe to this conversation on GitHub.
Already have an account?
Sign in.
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
No description provided.