rwightman/pytorch-image-models: v0.6.12 Release
- Ross Wightman
- Nathan Raw
- Alexander Soare
- Aman Arora
- Chris Ha
- Christoph Reich
- Jakub Kaczmarzyk
- mrT23
- Mike
- SeeFun
- contrastive
- Mohammed Rizin
- Hyeongchan Kim
- Csaba Kertész
- Dushyant Mehta
- Guillem Cucurull
- Kushajveer Singh
- han
- Yuki Tatsunami
- Andrew Lavin
- Juntang Zhuang
- Matthijs Hollemans
- Mohamed Rashad
- Sepehr Sameni
- Vyacheslav Shults
- Lucain
- Wang, Xiao
- Yonghye Kwon
- Yusuke Uchida
- Zhun Zhong
Publication date
November 2022
DOIAbstract
Minor bug fixes to HF push_to_hub, plus some more MaxVit weights Oct 10, 2022 More weights in maxxvit series, incl first ConvNeXt block based coatnext and maxxvit experiments: coatnext_nano_rw_224 - 82.0 @ 224 (G) -- (uses ConvNeXt conv block, no BatchNorm) maxxvit_rmlp_nano_rw_256 - 83.0 @ 256, 83.7 @ 320 (G) (uses ConvNeXt conv block, no BN) maxvit_rmlp_small_rw_224 - 84.5 @ 224, 85.1 @ 320 (G) maxxvit_rmlp_small_rw_256 - 84.6 @ 256, 84.9 @ 288 (G) -- could be trained better, hparams need tuning (uses ConvNeXt block, no BN) coatnet_rmlp_2_rw_224 - 84.6 @ 224, 85 @ 320 (T
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