
doi: 10.5281/zenodo.10903509 , 10.5281/zenodo.8160120 , 10.5281/zenodo.10708282 , 10.5281/zenodo.7777862 , 10.5281/zenodo.8154863 , 10.5281/zenodo.7886033 , 10.5281/zenodo.7783078 , 10.5281/zenodo.10903857 , 10.5281/zenodo.10115896 , 10.5281/zenodo.10201165 , 10.5281/zenodo.10559101 , 10.5281/zenodo.8152241 , 10.5281/zenodo.10468506 , 10.5281/zenodo.7844488 , 10.5281/zenodo.8005569 , 10.5281/zenodo.7780752 , 10.5281/zenodo.7789328 , 10.5281/zenodo.7838252 , 10.5281/zenodo.8249803 , 10.5281/zenodo.8131183 , 10.5281/zenodo.8006680 , 10.5281/zenodo.10044738 , 10.5281/zenodo.10568661 , 10.5281/zenodo.10944954 , 10.5281/zenodo.8013286 , 10.5281/zenodo.8316098 , 10.5281/zenodo.7777863 , 10.5281/zenodo.7782277 , 10.5281/zenodo.10115893 , 10.5281/zenodo.7780267 , 10.5281/zenodo.7891019 , 10.5281/zenodo.7893024 , 10.5281/zenodo.7783935 , 10.5281/zenodo.10075562 , 10.5281/zenodo.10798312 , 10.5281/zenodo.8009431 , 10.5281/zenodo.7886360 , 10.5281/zenodo.8178569 , 10.5281/zenodo.10944052
doi: 10.5281/zenodo.10903509 , 10.5281/zenodo.8160120 , 10.5281/zenodo.10708282 , 10.5281/zenodo.7777862 , 10.5281/zenodo.8154863 , 10.5281/zenodo.7886033 , 10.5281/zenodo.7783078 , 10.5281/zenodo.10903857 , 10.5281/zenodo.10115896 , 10.5281/zenodo.10201165 , 10.5281/zenodo.10559101 , 10.5281/zenodo.8152241 , 10.5281/zenodo.10468506 , 10.5281/zenodo.7844488 , 10.5281/zenodo.8005569 , 10.5281/zenodo.7780752 , 10.5281/zenodo.7789328 , 10.5281/zenodo.7838252 , 10.5281/zenodo.8249803 , 10.5281/zenodo.8131183 , 10.5281/zenodo.8006680 , 10.5281/zenodo.10044738 , 10.5281/zenodo.10568661 , 10.5281/zenodo.10944954 , 10.5281/zenodo.8013286 , 10.5281/zenodo.8316098 , 10.5281/zenodo.7777863 , 10.5281/zenodo.7782277 , 10.5281/zenodo.10115893 , 10.5281/zenodo.7780267 , 10.5281/zenodo.7891019 , 10.5281/zenodo.7893024 , 10.5281/zenodo.7783935 , 10.5281/zenodo.10075562 , 10.5281/zenodo.10798312 , 10.5281/zenodo.8009431 , 10.5281/zenodo.7886360 , 10.5281/zenodo.8178569 , 10.5281/zenodo.10944052
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
| selected citations These citations are derived from selected sources. 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). | 5 | |
| 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. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
