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· 2019；跨模态目标学习对应；图文匹配；遮挡内容预测；适配问答与检索等任务；检测器区域特征与预训练语言表示是实际组件来源；此页仅呈现模块接口。\n\n两类预训练组件汇入新任务；连线表示可复用接口，并不表示无需跨模态学习。 查看对应图解状态\n\n- 区域视觉输入\n- 检测器留下的区域特征\n- 语言输入\n- “红衣人拿着球”\n- 预训练的文字表示\n- ViLBERT · 2019\n- 跨模态目标学习对应\n- 图文匹配\n- 遮挡内容预测\n- 适配问答与检索等任务\n- 检测器区域特征与预训练语言表示是实际组件来源；此页仅呈现模块接口。两类预训练组件汇入新任务；连线表示可复用接口，并不表示无需跨模态学习。 [查看对应图解状态](/#/l3-r2-p55/0)[查看完整图解](/#/l3-r2-p55/0)","sha256":"1f748f92ef4a939c7bd6242fe9218fc0b47f32598759ccc6d75a6aafb20b0fc4","chapter":{"id":"III","title":"视觉与语言"},"unit":{"id":"language-local-and-question","title":"语言怎样选择当前需要的视觉信息？"},"page":{"id":"reading-opening","title":"ViLBERT：把已有区域和文字表示变成可迁移的联合起点","number":1},"sectionTitle":"ViLBERT：把已有区域和文字表示变成可迁移的联合起点","currentQuestion":"ViLBERT：把已有区域和文字表示变成可迁移的联合起点","sourceSlides":[],"knowledgeBlock":null,"formulas":[],"figure":{"caption":"两类预训练组件汇入新任务；连线表示可复用接口，并不表示无需跨模态学习。 查看对应图解状态","labels":["区域视觉输入","检测器留下的区域特征","语言输入","“红衣人拿着球”","预训练的文字表示","ViLBERT · 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