11 citations · 26 across the 5 of their papers we have counts for
5 papers
Reciprocal Attention Mixing Transformer for Lightweight Image Restoration
Haram Choi, Cheolwoong Na, Jihyeon Oh +6
Although many recent works have made advancements in the image restoration (IR) field, they often suffer from an excessive number of parameters. Another issue is that most Transfor…
Exploration of Lightweight Single Image Denoising with Transformers and Truly Fair Training
Haram Choi, Cheolwoong Na, Jinseop Kim +1
As multimedia content often contains noise from intrinsic defects of digital devices, image denoising is an important step for high-level vision recognition tasks. Although several…
N-Gram in Swin Transformers for Efficient Lightweight Image Super-Resolution
Haram Choi, Jeongmin Lee, Jihoon Yang
While some studies have proven that Swin Transformer (Swin) with window self-attention (WSA) is suitable for single image super-resolution (SR), the plain WSA ignores the broad reg…
FrostNet: Towards Quantization-Aware Network Architecture Search
Taehoon Kim, YoungJoon Yoo, Jihoon Yang
INT8 quantization has become one of the standard techniques for deploying convolutional neural networks (CNNs) on edge devices to reduce the memory and computational resource usage…
Abstractive Text Classification Using Sequence-to-convolution Neural Networks
Taehoon Kim, Jihoon Yang
We propose a new deep neural network model and its training scheme for text classification. Our model Sequence-to-convolution Neural Networks(Seq2CNN) consists of two blocks: Seque…