Web本文引入一个大规模细粒度交互语言图像预训练方法(FILIP),来完成更细粒度的跨模态迟交互,通过使用token-wise的视觉token和文本token的最大相似度作为对比学习的目标来实现。 通过只修改对比损失,FILIP成功地利用了图像patches和文本words之间更细粒度的表达能力,同时获得了在推理时预先计算图像和文本表示的能力,保持了大规模训练和推理的 … WebFilip Hegeduš is on Facebook. Join Facebook to connect with Filip Hegeduš and others you may know. Facebook gives people the power to share and makes the world more …
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