随笔分类 -  论文

SymGAN—Exploiting Images for Video Recognition: Heterogeneous Feature Augmentation via Symmetric Adversarial Learning学习笔记
摘要：SymGAN—Exploiting Images for Video Recognition: Heterogeneous Feature Augmentation via Symmetric Adversarial Learning学习笔记 阅读全文
posted @ 2020-11-17 10:36 Jason66661010 阅读(400) 评论(0) 推荐(0)
AFN—Larger Norm More Transferable: An Adaptive Feature Norm Approach for Unsupervised Domain Adaptation学习笔记
摘要：AFN—Larger Norm More Transferable: An Adaptive Feature Norm Approach for Unsupervised Domain Adaptation学习笔记 阅读全文
posted @ 2020-11-16 20:31 Jason66661010 阅读(781) 评论(0) 推荐(0)
Learning to Transfer Examples for Partial Domain Adaptation学习笔记
摘要：Learning to Transfer Examples for Partial Domain Adaptation学习笔记 阅读全文
posted @ 2020-11-14 21:46 Jason66661010 阅读(637) 评论(0) 推荐(0)
Partial Adversarial Domain Adaptation学习笔记
摘要：Partial Adversarial Domain Adaptation学习笔记 阅读全文
posted @ 2020-11-13 10:54 Jason66661010 阅读(1260) 评论(0) 推荐(0)
Partial Transfer Learning with Selective Adversarial Networks学习笔记
摘要：Partial Transfer Learning with Selective Adversarial Networks学习笔记 阅读全文
posted @ 2020-11-12 20:47 Jason66661010 阅读(657) 评论(0) 推荐(0)
Importance Weighted Adversarial Nets for Partial Domain Adaptation学习笔记
摘要：Importance Weighted Adversarial Nets for Partial Domain Adaptation学习笔记 阅读全文
posted @ 2020-11-11 20:13 Jason66661010 阅读(519) 评论(0) 推荐(0)
Exploiting Images for Video Recognition with Hierarchical Generative Adversarial Networks学习笔记
摘要：Exploiting Images for Video Recognition with Hierarchical Generative Adversarial Networks学习笔记 阅读全文
posted @ 2020-11-10 16:41 Jason66661010 阅读(270) 评论(0) 推荐(0)
improved open set domain adaptation with backpropagation 学习笔记
摘要：improved open set domain adaptation with backpropagation 学习笔记 阅读全文
posted @ 2020-11-09 14:54 Jason66661010 阅读(649) 评论(0) 推荐(0)
Learning Likelihood Estimates for Open Set Domain Adaptation——学习笔记
摘要：Learning Likelihood Estimates for Open Set Domain Adaptation——学习笔记 阅读全文
posted @ 2020-10-31 10:38 Jason66661010 阅读(432) 评论(0) 推荐(1)
EMNIST: an extension of MNIST to handwritten letters数据集简介
摘要：EMNIST: an extension of MNIST to handwritten letters数据集简介 阅读全文
posted @ 2020-10-27 15:57 Jason66661010 阅读(1830) 评论(0) 推荐(0)
深度域适应综述_一般情况与复杂情况（学习笔记）
摘要：深度域适应综述_一般情况与复杂情况（学习笔记） 阅读全文
posted @ 2020-10-27 10:53 Jason66661010 阅读(5089) 评论(2) 推荐(2)
Weakly Supervised Open-set Domain Adaptation by Dual-domain Collaboration笔记
摘要：Weakly Supervised Open-set Domain Adaptation by Dual-domain Collaboration笔记 阅读全文
posted @ 2020-10-26 11:00 Jason66661010 阅读(323) 评论(0) 推荐(0)
Towards Inheritable Models for Open-Set Domain Adaptation笔记
摘要：Towards Inheritable Models for Open-Set Domain Adaptation笔记 阅读全文
posted @ 2020-10-26 10:58 Jason66661010 阅读(356) 评论(0) 推荐(0)
Open Set Domain Adaptation学习笔记
摘要：Open Set Domain Adaptation学习笔记 阅读全文
posted @ 2020-10-26 10:55 Jason66661010 阅读(704) 评论(0) 推荐(0)
Unsupervised Domain Adaptation by Backpropagation(2015)学习笔记
摘要：Unsupervised Domain Adaptation by Backpropagation 阅读全文
posted @ 2020-10-25 11:02 Jason66661010 阅读(746) 评论(0) 推荐(0)
Separate to Adapt: Open Set Domain Adaptation via Progressive Separation论文笔记
摘要：Separate to Adapt: Open Set Domain Adaptation via Progressive Separation论文笔记 阅读全文
posted @ 2020-08-29 10:55 Jason66661010 阅读(1212) 评论(0) 推荐(2)
Attract or Distract Exploit the Margin of Open Set论文总结
摘要：Attract or Distract Exploit the Margin of Open Set论文总结 阅读全文
posted @ 2020-08-28 10:12 Jason66661010 阅读(225) 评论(0) 推荐(0)
Attract or Distract: Exploit the Margin of Open Set论文笔记
摘要：Attract or Distract: Exploit the Margin of Open Set论文笔记 阅读全文
posted @ 2020-08-27 20:04 Jason66661010 阅读(431) 评论(0) 推荐(0)
Unsupervised Open Domain Recognition by Semantic Discrepancy Minimization论文笔记
摘要：Unsupervised Open Domain Recognition by Semantic Discrepancy Minimization论文笔记 阅读全文
posted @ 2020-08-26 16:02 Jason66661010 阅读(411) 评论(0) 推荐(0)