Search Results for author: Shaohua Wan

Found 6 papers, 1 papers with code

Incremental Few-Shot Semantic Segmentation via Embedding Adaptive-Update and Hyper-class Representation

no code implementations26 Jul 2022 Guangchen Shi, Yirui Wu, Jun Liu, Shaohua Wan, Wenhai Wang, Tong Lu

Second, to resist overfitting issues caused by few training samples, a hyper-class embedding is learned by clustering all category embeddings for initialization and aligned with category embedding of the new class for enhancement, where learned knowledge assists to learn new knowledge, thus alleviating performance dependence on training data scale.

Few-Shot Semantic Segmentation Semantic Segmentation

Large Scale Global Optimization Algorithms for IoT Networks: A Comparative Study

no code implementations22 Feb 2021 Sotirios K. Goudos, Achilles D. Boursianis, Ali Wagdy Mohamed, Shaohua Wan, Panagiotis Sarigiannidis, George K. Karagiannidis, Ponnuthurai N. Suganthan

To the best of the authors knowledge, this is the first time that LGSO algorithms are applied to the optimal power allocation problem in IoT networks.

A Matrix-in-matrix Neural Network for Image Super Resolution

1 code implementation19 Mar 2019 Hailong Ma, Xiangxiang Chu, Shaohua Wan, Bo Zhang

In recent years, deep learning methods have achieved impressive results with higher peak signal-to-noise ratio in single image super-resolution (SISR) tasks by utilizing deeper layers.

Image Super-Resolution Single Image Super Resolution

Bootstrapping Face Detection with Hard Negative Examples

no code implementations7 Aug 2016 Shaohua Wan, Zhijun Chen, Tao Zhang, Bo Zhang, Kong-kat Wong

Recently significant performance improvement in face detection was made possible by deeply trained convolutional networks.

Face Detection

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