近期我们小组做了一项对比学习方面的工作:“Inter-Instance Similarity Modeling for Contrastive Learning”,主要用于解决现有对比学习方法在训练过程中忽略样本间相似关系,从而导致所学习无监督表征在不同样本之间的泛化能力下降问题。所提出的方法在ImageNet-1K、CIFAR10和CIFAR100上取得了显著的性能提升。该项工作在我们后...
2. 实例间相似性建模(Inter-instance Similarity Modeling)的基本概念 实例间相似性建模是指识别并建模不同图像实例之间的相似性关系。在对比学习中,传统的做法主要关注同一样本不同视图之间的相似性,而忽略了图像之间潜在的相似性。实例间相似性建模旨在捕捉这种图像间的相似性,从而提高学习到的图像表征的泛化能力和鲁棒...
Inter-Instance Similarity Modeling 在本节中,我们应用获得的混合图像和软目标来指导训练后的模型来捕获大量图像实例之间潜在的丰富相似性。如图所示,输入图像通过两个随机数据扩充T_1(·)和T_2(·)进行处理,得到变换后的x^{(1)}=T_1(x)和x^{(2)}=T_2(x)。为了构建相似度丰富的正对,分别对图像批x^{(...
The following section, "Monitoring Cache Fusion and Inter-Instance Performance", describes how to evaluate Cache Fusion performance in more detail. See Also: Chapter 7 for more information on lock types. Monitoring Cache Fusion and Inter-Instance Performance This section describes how to obtain ...
In this way, I3CL can effectively exploit the intra- and inter-instance dependencies together in a unified end-to-end trainable framework. Besides, to make full use of the unlabeled data, we design an effective semi-supervised learning method to leverage the pseudo labels via an ensemble ...
Label Super Resolution with Inter-Instance Loss For the task of semantic segmentation, high-resolution (pixel-level) ground truth is very expensive to collect, especially for high resolution images such as gigapixel pathology images. On the other hand, collecting low resolution labels (labels for a...
Issues Pull requests Actions Projects Security Insights Additional navigation options main 1Branch0Tags Code README License Inter-Instance Similarity Modeling for Contrastive Learning 1. Introduction This is the official implementation of paper: "Inter-Instance Similarity Modeling for Contrastive Learning". ...
which means that the service localization (‘PREFERRED’ instance) will create the coordinator on the henceforth designed instance, but the slaves are not bound by the service configuration. So I rewrote “being able to restrict PQ access to one node” into “being able to restrict PQ access ...
It thus enables to assign instance labels to the seeds and to propagate them within the boundaries so that the entire areas of instances can be estimated accurately. Furthermore, IRNet is trained with inter-pixel relations on the attention maps, thus no extra supervision is required. Our method...
aFor instance, if the first 3 packets had schedule times set to 1ms, 2ms, and 3ms and the playback timer count was 5ms, the first 3 packets would be sent out with minimum interframe gaps (960ns at 100mpbs) and desired timing would not be achieved. 例如,如果前3个小包有日程表时间被...