Search Results for author:
Found 7 papers, 0 papers with code
Investigating the feature collection for semantic segmentation via single skip connection
Therefore, in this study, we exhaustively research skip connections of state-of-the-art deep convolutional networks and investigate the characteristics of the features from each intermediate layer.
Enhancing the Performance of Convolutional Neural Networks on Quality Degraded Datasets
Despite the appeal of deep neural networks that largely replace the traditional handmade filters, they still suffer from isolated cases that cannot be properly handled only by the training of convolutional filters.
One-Shot Item Search with Multimodal Data
However, since deep neural network emerged, the performance of visual search becomes high enough to apply it in many industries from 3D data to multimodal data.
Filter Style Transfer between Photos
Unlike conventional style transfer, new technique FST can extract and transfer custom filter style from a filtered style image to a content image.
Learning Boost by Exploiting the Auxiliary Task in Multi-task Domain
While MTL benefits from the positive transfer of information from multiple tasks, in a real environment, tasks inevitably have a conflict between them during the learning phase, called negative transfer.
StyLandGAN: A StyleGAN based Landscape Image Synthesis using Depth-map
Despite recent success in conditional image synthesis, prevalent input conditions such as semantics and edges are not clear enough to express `Linear (Ridges)' and `Planar (Scale)' representations.
Style-Guided Inference of Transformer for High-resolution Image Synthesis
To alleviate the process of generating lots of samples repetitively, in this article, we propose to take a desired output, a style image, as an additional condition without re-training the transformer.
