几篇论文实现代码:
《Residual Attention: A Simple but Effective Method for Multi-Label Recognition》(ICCV 2021) GitHub:https:// github.com/Kevinz-code/CSRA [fig2]
《PrimitiveNet: Primitive Instance Segmentation with Local Primitive Embedding under Adversarial Metric》(ICCV 2021) GitHub:https:// github.com/hjwdzh/PrimitiveNet [fig3]
《SSH: A Self-Supervised Framework for Image Harmonization》(ICCV 2021) GitHub:https:// github.com/VITA-Group/SSHarmonization [fig4]
《Deep Relational Metric Learning》(ICCV 2021) GitHub:https:// github.com/zbr17/DRML [fig5]
《Adapting Language Models for Zero-shot Learning by Meta-tuning on Dataset and Prompt Collections
》(EMNLP 2021) GitHub:https:// github.com/ruiqi-zhong/Meta-tuning
《Perceiver IO: A General Architecture for Structured Inputs & Outputs》(2021) GitHub:https:// github.com/esceptico/perceiver-io
《Layout-to-Image Translation with Double Pooling Generative Adversarial Networks》(2021) GitHub:https:// github.com/Ha0Tang/DPGAN
《Fastformer: Additive Attention Can Be All You Need》(2021) GitHub:https:// github.com/wilile26811249/Fastformer-PyTorch [fig1]
《Residual Attention: A Simple but Effective Method for Multi-Label Recognition》(ICCV 2021) GitHub:https:// github.com/Kevinz-code/CSRA [fig2]
《PrimitiveNet: Primitive Instance Segmentation with Local Primitive Embedding under Adversarial Metric》(ICCV 2021) GitHub:https:// github.com/hjwdzh/PrimitiveNet [fig3]
《SSH: A Self-Supervised Framework for Image Harmonization》(ICCV 2021) GitHub:https:// github.com/VITA-Group/SSHarmonization [fig4]
《Deep Relational Metric Learning》(ICCV 2021) GitHub:https:// github.com/zbr17/DRML [fig5]
《Adapting Language Models for Zero-shot Learning by Meta-tuning on Dataset and Prompt Collections
》(EMNLP 2021) GitHub:https:// github.com/ruiqi-zhong/Meta-tuning
《Perceiver IO: A General Architecture for Structured Inputs & Outputs》(2021) GitHub:https:// github.com/esceptico/perceiver-io
《Layout-to-Image Translation with Double Pooling Generative Adversarial Networks》(2021) GitHub:https:// github.com/Ha0Tang/DPGAN
《Fastformer: Additive Attention Can Be All You Need》(2021) GitHub:https:// github.com/wilile26811249/Fastformer-PyTorch [fig1]
来回转了好多家最终还是在DR定了
发现了更喜欢的很有意义的对戒
二戒成婚 三戒一生
始于初见 止于终老
曾经不知道自己想要什么又或是想要的太多
到现在归于平淡
期待以后一屋两人三餐四季的生活
最近共和的Someday听上瘾了
“Someday when we're older,
I'll be yours and you'll be mine, be happy”
Won't we?
发现了更喜欢的很有意义的对戒
二戒成婚 三戒一生
始于初见 止于终老
曾经不知道自己想要什么又或是想要的太多
到现在归于平淡
期待以后一屋两人三餐四季的生活
最近共和的Someday听上瘾了
“Someday when we're older,
I'll be yours and you'll be mine, be happy”
Won't we?
我最亲爱的阿宋,我向神明许愿,尽管诸事不顺,你要开开心心,平平安安
나의 가장 사랑하는 아송, 나는 신에게 소원을 빌었다. 비록 모든 일이 잘 풀리지 않더라도, 너는 즐거운 마음으로 평안히 지내라.
My dearest Asong, I wish to God, that although all things are not good, you should be happy and safe https://t.cn/RVJk9aF
나의 가장 사랑하는 아송, 나는 신에게 소원을 빌었다. 비록 모든 일이 잘 풀리지 않더라도, 너는 즐거운 마음으로 평안히 지내라.
My dearest Asong, I wish to God, that although all things are not good, you should be happy and safe https://t.cn/RVJk9aF
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