Peng, Xiaokang, et al. "Balanced Multimodal Learning via On-the-fly Gradient Modulation." Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2022. 这篇论文针对多模态训练中存在的优化不平衡问题,提出了一种泛化增强的动态梯度调制的多模态学习策略。现有的解决方法是...
on-the-fly gradient modulationon-the-fly prediction modulationMultimodal learning is expected to boost model performance by integrating information from different modalities. However, its potential is not fully exploited because the widely-used joint training strategy, which has a uniform objective for ...
[1] X. Peng, Y. Wei, A. Deng, D. Wang, and D. Hu. Balanced multimodal learning via on-the-fly gradient modulation. In CVPR, 2022. 论文链接: https://arxiv.org/pdf/2203.15332.pdf 代码链接: https://github.com/GeWu-Lab/OGM-GE_CVPR2022 视频讲者简介: 卫雅珂,中国人民大学高瓴人工...
On-the-fly Gradient Modulation (OGM), which is designed to adaptively balance the training between modalities; Adaptive Gaussian noise Enhancement (GE), which restores the gradient intensity and brings generalization. Main Dependencies Ubuntu 16.04 ...
The development of neural relighting techniques has by far outpaced the rate of their corresponding training data (e.g., OLAT) generation. For example, hig
The color gradient for mice is based on the sign of the t-test, the color of the human data is based on the interaction coefficient. The annotated values show the adjusted false discovery rate. e, Independent validation of clock 1 on parabiosis in young and old mice (GSE224361). Liver ...
The temperature gradient of tube furnace was maintained for two weeks. The square and rectangular shaped ZrSiSe crystals were formed at the cold end. STM measurement The STM/STS measurements were carried out in a scanning tunneling microscope (USM-1600, Unisoku) with an ultrahigh vacuum (base ...
[11] proposed a simple gradient algorithm to provide an approximate solution with reduced complexity. This iterative algorithm is used in this paper because of its low complexity. Although the optimum of a QCQP exists, the solution requires a high computational cost ofO(NsN2L), whereNsis a ...
SD _ outwas obtained by applying the above process to SD input data. The next work we need to do is to concatenateSA _ outandSD _ out. The role of batch normalization (BN) in CircCNN is to keep input data in the same distribution and avoid vanishing gradient, and overf...
These features provide a gradient in the wetting properties of the solid surface, whilst retaining a uniform surface chemistry, and create a self-propulsion force on droplets. However, direct contact between the droplet and the solid is needed to drive motion, and this introduces static and ...