Sep 11, 2018 · View a PDF of the paper titled Unsupervised Stylish Image Description Generation via Domain Layer Norm, by Cheng Kuan Chen and 3 other authors.
This design enables us to use the shared content to generate descriptions that are more relevant to the image as well as control the style by plugging in a set.
We achieve this capability via a novel layer normalization layer design, which we will refer to as the Domain Layer Norm (DLN). Extensive experimental ...
Unsupervised Stylish Image Description Generation via Domain Layer Norm ... It can learn to generate stylish image descriptions that are more related to image ...
We achieve this capability via a novel layer normalization layer design, which we will refer to as the Domain Layer Norm (DLN). Extensive ...
Co-authors ; Unsupervised stylish image description generation via domain layer norm. CK Chen, Z Pan, MY Liu, M Sun. Proceedings of the AAAI Conference on ...
Unsupervised Stylish Image Description Generation via Domain Layer Norm, AAAI 2019, [paper]. Grammatical Error Correction. Grammatical Error Correction and ...
Ming-Yu Liu is a Vice President of Research at NVIDIA and a Fellow of IEEE. He leads the Deep Imagination Research group at NVIDIA.
Oct 1, 2018 · AAAI2019 Unsupervised Stylish Image Description Generation via Domain Layer Norm. (arXiv:1809.06214v1 [cs\.CV]) https://t.co/1SOtHx2eI0.
This method maps a sample from one domain to another using a generative adversarial network (GAN) in an unsupervised fashion. We attempt to replicate this ...
Missing: Stylish via Norm.