Learning Transferable Visual Models From natural l
2021年2月26日 — After pre-training, natural language is used to reference learned visual concepts (or describe new ones) enabling zero-shot transfer of the ... ,由 A Radford 著作 · 被引用 145 次 — Learning Transferable Visual Models From. Natural Language Supervision. ICML 2021. Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, ... ,由 A Radford 著作 · 被引用 172 次 — We denote this model as ViT-L/14@336px. Unless otherwise specified, all results reported in this paper as “CLIP” uses this model which we found to perform best. ,由 A Radford 著作 · 2021 · 被引用 136 次 — After pre-training, natural language is used to reference learned visual concepts (or describe new ones) enabling zero-shot transfer of the ... ,CLIP [OpenAI 21.01] Learning Transferable Visual Models From Natural Language ... 3种ViT：ViT-B/32, ViT-B/16, ViT-L/14；; encoder representation直接线性投影 ...
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 Learning Transferable Visual Models From natural l 相關參考資料
Learning Transferable Visual Models ... - Papers With Code
2021年2月26日 — After pre-training, natural language is used to reference learned visual concepts (or describe new ones) enabling zero-shot transfer of the ... https://paperswithcode.com Learning Transferable Visual Models From Natural ... - ICML
由 A Radford 著作 · 被引用 145 次 — Learning Transferable Visual Models From. Natural Language Supervision. ICML 2021. Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, ... https://icml.cc Learning Transferable Visual Models From Natural ... - OpenAI
由 A Radford 著作 · 被引用 172 次 — We denote this model as ViT-L/14@336px. Unless otherwise specified, all results reported in this paper as “CLIP” uses this model which we found to perform best. https://cdn.openai.com Learning Transferable Visual Models From Natural Language ...
由 A Radford 著作 · 2021 · 被引用 136 次 — After pre-training, natural language is used to reference learned visual concepts (or describe new ones) enabling zero-shot transfer of the ... https://arxiv.org 多模态模型补充-CLIP - 简书
CLIP [OpenAI 21.01] Learning Transferable Visual Models From Natural Language ... 3种ViT：ViT-B/32, ViT-B/16, ViT-L/14；; encoder representation直接线性投影 ... https://www.jianshu.com |