Zihan Zhong

Results 22 comments of Zihan Zhong

hi, I meet the same problem , do you solve your problem?

Thank your for your reply. @JetRunner @MichaelZhouwang 1. The result for the test set on GLUE benchmark is listed as follows: | Model | MRPC (F1/Acc.) | RTE (Acc.) |...

Thanks for your reply. I have shown the results on the test set before, and the results on the dev set are as follows: | Model | MRPC (F1/Acc.) |...

> Hi, that was my mistake. The teacher is initialized by pretrained BERT (well-read student). But using fine-tuned teacher should be able to achieve similar performance. > > First I...

I meet the same problem, do you solve it?

> Great work! One real quick question, have you tried conv-lora on standard text tasks instead of image/SAM tasks? If so, how was it? If havnt tried, do you think...

> @Harry-zzh @Hakeyi Hi! Were you able to reproduce the results? If yes, is it possible to share your findings? Thanks a lot! Sorry for late reply. I fail to...

> > > Hi, that was my mistake. The teacher is initialized by pretrained BERT (well-read student). But using fine-tuned teacher should be able to achieve similar performance. > >...

> 1.代码里GroundingDINO_sam_demo这个是给一个提示然后得到分割以及标注的结果,非常好。不使用chatgpt,这个能实现对全图的一个分割并且对分割的所有类别进行一个标注吗。 2.然后我在sam里,用sam_vit_h_4b8939.pth给“cats”提示后得到的效果如下: ![2](https://user-images.githubusercontent.com/73433395/231812427-79d184b3-14f0-4efb-a878-bde0a3a465ee.jpg) 但是,用这个GroundingDINO_sam_demo做的结果更好,是下面的 ![grounded_sam_output](https://user-images.githubusercontent.com/73433395/231812657-a9bbb9ac-7880-4e72-a0f5-c18528fcd473.jpg) 这个是因为用到了GroundingDINO的缘故吗,是先做了一个检测,然后再做的sam吗? sam能通过直接给text提示,得到mask了吗?

> Hello, have you solved this question? I have the same question. In general, the result of "coco_2017_test_stuff_base_sem_seg" should be higher than "miou-base". Do you know the reason behind this...