Comments (4)
JustinLin610
commented on May 18, 2024
抱歉好像知乎上忘回你了。是个typo我会改掉，MUGE只做image retrieval不做text retrieval。
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FD-Liekkas
commented on May 18, 2024
感谢大佬回复，再请教一下为什么MUGE不做图文检索任务的评测呢？是这个数据集不适合做这一块吗？
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yangapku
commented on May 18, 2024
因为MUGE的检索任务当时主要是从中文电商搜索场景来源的，这个场景下主要关注的就是文本搜索query检索商品图片的效果，所以就只考虑了text-to-image retrieval这个方向的指标。反过来image-to-text retrieval当然也是可以计算的，只是大家都没做这个方向，就没有对比的对象了。具体指标的话，我们的base模型，zeroshot的image-to-text retrieval的R1/5/10分别为38.7 65.6 75.1，供您参考哈。
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FD-Liekkas
commented on May 18, 2024
明白了，感谢大佬回复！
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Related Issues (20)
- 使用RN50预训练模型和flick30k后得到的权重文件特别大 HOT 2
- text描述
- 为什么使用同样的词和图片得到的结果不一致？
- Downlodaded issue
- 关于ACC和R@5的问题 HOT 13
- LOSS:nan 微调时LOSS异常 HOT 12
- 无进行任何微调，直接用模型对总的数据集进行测试R@5值为50多，把总数据集切割为train、test和valid后直接测试R@5为10多
- 在finetune时报错KeyError: 'optimizer' HOT 1
- finetune时报错，且Traceback疑似被截断，无法定位出错线程 HOT 3
- 微调clip_cn_vit-l-14-336 报错 HOT 2
- 请问在线demo中的文搜图或图搜图应用，对返回结果的逻辑处理是怎么样的呢？我设置了返回50张，但是有的文本只返回了32张。请问你们是对结果进行了阈值过滤吗，阈值设置的多少呢？用于检索的数据有哪些呢？
- Delete
- 执行finetune流程时报错 HOT 1
- 请问demo用的base模型跟本项目给的CN-CLIP（ViT-B/16）是同一个模型吗？跟我本地的测试结果不太一样
- 请问怎么调用这个模型？怎么提供api服务？
- 文搜图的原理
- fb16速度比fb32要慢
- 请问分词器有没有c++版本的实现？ HOT 1
- 请问训练脚本会在当验证集上性能下降时停止训练吗，还是说只是会汇报下验证集上的性能但训练继续
- load_from_name 加入 flash-attn 支持
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