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Implement RegNetZ Model #713
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Summary: Pull Request resolved: facebookresearch#713 Add implementation of RegNetZ models, as per https://arxiv.org/abs/2103.06877 RegNetZ models are trained with a convolutional fully connected head Differential Revision: D27028613 fbshipit-source-id: 4208bb68d4551e32dbaaee38245fbf948eea5c86
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Summary: Pull Request resolved: facebookresearch#713 Add implementation of RegNetZ models, as per https://arxiv.org/abs/2103.06877 RegNetZ models are trained with a convolutional fully connected head Differential Revision: D27028613 fbshipit-source-id: 5413a6e5483709854b52f0a24ce05a811679572c
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Summary: Pull Request resolved: facebookresearch#713 Add implementation of RegNetZ models, as per https://arxiv.org/abs/2103.06877 RegNetZ models are trained with a convolutional fully connected head Differential Revision: D27028613 fbshipit-source-id: 8418e1ec7155f1cbfd348a91c94fd45eef61b5f9
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Summary: Pull Request resolved: facebookresearch#713 Add implementation of RegNetZ models, as per https://arxiv.org/abs/2103.06877 RegNetZ models are trained with a convolutional fully connected head Differential Revision: D27028613 fbshipit-source-id: 3dfffaf06b621ed41b665aae3db3b14185c22783
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Summary: Pull Request resolved: facebookresearch#713 Add implementation of RegNetZ models, as per https://arxiv.org/abs/2103.06877 RegNetZ models are trained with a convolutional fully connected head Differential Revision: D27028613 fbshipit-source-id: e93d66a2f9ff877beabc3ef7e2df8e840b189daa
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Summary: Pull Request resolved: facebookresearch#713 Add implementation of RegNetZ models, as per https://arxiv.org/abs/2103.06877 RegNetZ models are trained with a convolutional fully connected head Differential Revision: D27028613 fbshipit-source-id: 5cddca5c35236a38f92d13e9d84127c5fdf92d29
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Summary: Pull Request resolved: facebookresearch#713 Add implementation of RegNetZ models, as per https://arxiv.org/abs/2103.06877 RegNetZ models are trained with a convolutional fully connected head Differential Revision: D27028613 fbshipit-source-id: 38088aac9d1c317e26b52cb8092e820b72735a4a
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Differential Revision: D25213285 fbshipit-source-id: d6f287ef8a5cfc013336fce4d6d7ca6166ac2c09
Differential Revision: D27027397 fbshipit-source-id: 005c6d00c95615a6442cc25d76e6e566a28c3d9c
Summary: Pull Request resolved: facebookresearch#713 Add implementation of RegNetZ models, as per https://arxiv.org/abs/2103.06877 RegNetZ models are trained with a convolutional fully connected head Differential Revision: D27028613 fbshipit-source-id: 52987804adaf8ab28f5b754a088a90ba6ff5185c
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Summary: Pull Request resolved: #713 Add implementation of RegNetZ models, as per https://arxiv.org/abs/2103.06877 RegNetZ models are trained with a convolutional fully connected head Reviewed By: lauragustafson Differential Revision: D27028613 fbshipit-source-id: 60023815369249cc176b7f2a571ff67324294a4b
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Summary:
Add implementation of RegNetZ models, as per https://arxiv.org/abs/2103.06877
RegNetZ models are trained with a convolutional fully connected head
Differential Revision: D27028613