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Deci-AI/super-gradients: 3.7.0

Authors: Shay Aharon; Louis-Dupont; Eugene Khvedchenya; Ofri Masad; oferbaratz; Kate Yurkova; lkdci; +23 Authors

Deci-AI/super-gradients: 3.7.0

Abstract

What's Changed Added class balancing sampler by @NatanBagrov in https://github.com/Deci-AI/super-gradients/pull/1865 Added hydra len resolver by @NatanBagrov in https://github.com/Deci-AI/super-gradients/pull/1903 Added support for segmentation models to support .export() by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1860 Install pytorch-quantization on demand by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1908 Refactor internals of model.export() to reduce amount of duplicate code by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1915 Added support for VOC format detection dataset class by @shaydeci in https://github.com/Deci-AI/super-gradients/pull/1910 Removed unsused pyparsing by @AlanBlanchet in https://github.com/Deci-AI/super-gradients/pull/1924 Fix the logic how number of calibration batches are computed in PTQ to match the documentation by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1918 Fixed overflows in model calibration in PTQ by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1927 Fixed a crash if experiment directory does not exists by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1930 Increase efficiency of Mixup & Mosaic augmentations by querying additional samples only when needed by @NatanBagrov in https://github.com/Deci-AI/super-gradients/pull/1897 Added Trainer.evaluate_from_config to align with Trainer.train_from_config by @NatanBagrov in https://github.com/Deci-AI/super-gradients/pull/1904 Added batch_size to ExportResult by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1931 Feature/sg 000 support xml annotations for pascal by @shaydeci in https://github.com/Deci-AI/super-gradients/pull/1933 Fix num channels check by @spsancti in https://github.com/Deci-AI/super-gradients/pull/1934 Fixed a bug in visualization of the worst batch for OD task by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1936 Added validation step before resuming when failing to fetch the metric to watch by @shaydeci in https://github.com/Deci-AI/super-gradients/pull/1932 Unwrap when deprecating decorated methods by @NatanBagrov in https://github.com/Deci-AI/super-gradients/pull/1942 Updated version by @shaydeci in https://github.com/Deci-AI/super-gradients/pull/1943 New Contributors @AlanBlanchet made their first contribution in https://github.com/Deci-AI/super-gradients/pull/1924 Full Changelog: https://github.com/Deci-AI/super-gradients/compare/3.6.1...3.7.0

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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Top 10%
Average
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