Locked-Image Tuning: Adding Language Understanding to Image Models – Google Research Blog
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Brief Review — LiT: Zero-Shot Transfer with Locked-image text Tuning | by Sik-Ho Tsang | Medium
LiT: Zero-Shot Transfer with Locked-image text Tuning | Papers With Code
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LiT: Zero-Shot Transfer with Locked-image Tuning
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Xiaohua Zhai on Twitter: "Locked-image Tuning (LiT🔥) is an alternative method to fine-tuning. It turns any pre-trained vision backbone to a zero-shot learner! LiT achieves 84.5% 0-shot acc. on ImageNet and 81.1%
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LiT: Zero-Shot Transfer with Locked-image Text Tuning – arXiv Vanity
Locked-Image Tuning: Adding Language Understanding to Image Models – Google Research Blog
Autotuning show 2019 lit weekend Twerk Tuning Session :: Auto Portal
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LiT: Zero-Shot Transfer with Locked-image Tuning
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